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[Call for Participation] 2021 BenchCouncil International Symposium on Benchmarking, Measuring and Optimizing (Bench'21)
by haotianshu＠ict.ac.cn 11 Nov '21

11 Nov '21

[Apologies if you receive multiple copies] ======================================================================== 2021 BenchCouncil International Symposium on Benchmarking, Measuring and Optimizing (Bench'21) http://www.benchcouncil.org/bench21/index.html * Fully online, Nov. 14-16, 2021, beginning at 8 am EST (UTC-5) * Free registration Highlights (1) BenchCouncil Achievement Award Lecture, Prof. Jack Dongarra, University of Tennessee. (2) Three BenchCouncil Rising Star Award Lectures, The primary Contributors of the MLPerf and AIBench Projects. Dr. Peter Mattson from Google, Prof. Dr. Vijay Janapa Reddi from Harvard University, and Dr. Wanling Gao from the Chinese Academy of Sciences. (3) Four finalists for the 2021 BenchCouncil Distinguished Doctoral Dissertation Award. Dr. Romain Jacob from ETH Zurich; Dr. Pei Guo from the University of Maryland; Dr. Belen Bermejo from the University of the Balearic Islands; and Dr. Kai Shu from IIT. (4) Four exciting Tutorials on benchmarking Cloud DB, performance monitoring, MPI, and DataBench toolbox. ======================================================================== Full Program ------------------------ https://www.benchcouncil.org/bench21/program.html Virtual Event Platform ---------------------- The virtual conference will consist of a live stream of the keynotes and paper sessions, with the opportunity for questions and answers with the presenters. Pre-recorded videos of paper presentations (not keynotes) will be provided before the conference. The conference will use Zoom for talks. Registered participants will be provided with details on how to access the conference. Free Registration (It may be blocked in some countries, please use the VPN) ------------------------ https://docs.google.com/forms/d/e/1FAIpQLSe1T3P-eo8DptOA6IMXSnICtEUK5Ez4t7p…

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Multiple Open Tenured/Tenure Track Positions at UMBC
by Sanjay Purushotham 06 Nov '21

06 Nov '21

[Apologies for multiple copies] Application link: https://apply.interfolio.com/96156 *Multiple Open Tenured/Tenure Track Positions at UMBC* The College of Engineering and Information Technology at the University of Maryland Baltimore County (UMBC) is seeking to build on our strengths in research that intersects human health by making multiple hires at all levels. Examples of research areas include but are not limited to: ethical AI for healthcare data, community centered data science to understand health inequities, AI analysis of biomedical images for screening and diagnosis, user inspired design for rehabilitation engineering, work to understand the relationship between air quality and health inequities, and development of novel engineered therapeutics. There are many exciting areas at the intersection of health, engineering, and computing, and we are looking forward to seeing applications from candidates interested in these intersectional research areas. As part of the interview process, candidates will have the opportunity to meet with departments and select the department where they feel they will be most successful. At UMBC, we advance knowledge, economic prosperity, and social justice by welcoming and inspiring inquisitive minds from all backgrounds. We are a dynamic public research university integrating teaching, research, and service to benefit the citizens of Maryland. We offer academically talented students a strong undergraduate foundation that prepares them for graduate and professional study, entry into the workforce, and community service and leadership. At the graduate level, we emphasize science, engineering, information technology, human services, and public policy. Additionally, we contribute to the economic development of the State and the region through entrepreneurial initiatives, workforce training, K-16 partnerships, and technology commercialization in collaboration with public agencies and the corporate community. UMBC is located near Johns Hopkins Medical School, the University of Maryland Medical School, NIH, NIST, and DoD medical research command at Ft. Detrick. There are phenomenal opportunities to collaborate with colleagues across universities as well as government research labs and foundations. The HHMI Janelia Research Campus is less than an hour from UMBC. The College of Engineering and Information Technology has four departments: Information Systems, Computer Science and Electrical Engineering, Mechanical Engineering, and Chemical, Biochemical, and Environmental Engineering. The College is a collaborative environment where faculty are encouraged and supported to collaborate across disciplines both at UMBC and with researchers in other institutions. Community engaged research is also strongly supported both by the College and by the Shriver Center that for over 30 years has been dedicated to community connections and engagement. UMBC is located in Baltimore County, 10 minutes from downtown Baltimore. Our faculty live and work in the city as well as in the broader Maryland region. The area is vibrant with fantastic theater, arts, restaurants, and outdoor activities minutes from campus. Candidates must have a PhD by June 2022 to be considered for a position. We are particularly interested in receiving applications from individuals who are members of groups that have been historically excluded from the professoriate. UMBC is a minority serving institution, and it is important to us that our faculty reflect the diversity of our incredible students. *APPLICATION REQUIREMENTS Electronic submission of applications is required at* *http://apply.interfolio.com/96156 <http://apply.interfolio.com/96156>* All applications must be submitted as PDF files. Individual applications will not be reviewed until all five of the following materials are received: 1) Cover letter 2) Curriculum Vitae 3) Statement regarding one’s experience and commitment to diversity and inclusion 4) Research statement 5) Teaching statement 4) Names and contact information of at least three references For inquiries, please send email to elavik(a)umbc.edu. Review of applications will begin on November 15, 2021 and will continue until the position is filled, subject to the availability of funds. For best consideration, please submit all application materials by this date. UMBC was established upon the land of the Piscataway Conoy and Susquehannock peoples. Over time, citizens of many more Indigenous nations have come to reside in this region. We humbly offer our respects to all past, present, and future Indigenous people connected to this place. UMBC is an Affirmative Action/Equal Opportunity Employer and welcomes applications from minorities, women, veterans, and individuals with disabilities.

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CFP: The 22th IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing (CCGrid 2022)
by Bahman Javadi 31 Oct '21

31 Oct '21

The 22th IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing (CCGrid 2022) in conjunction with the 6th IEEE International Conference on Fog and Edge Computing (ICFEC 2022) May 16-19, 2022, Taormina, Sicily, Italy* http://fcrlab.unime.it/ccgrid22/ < https://protect-au.mimecast.com/s/10-2CP7yBlsK1JVo5fzWQup?domain=fcrlab.uni… > Sponsored by: IEEE Computer Society / Technical Committee on Scalable Computing ACM SIGARCH Hosted/Organised by: * University of Messina, Italy * Cardiff University, UK * University of Klagenfurt, Austria * Ohio State University, USA * Future Computing Research LAB (FCRLAB), Italy ============================================================================= *The safety and well-being of all conference participants is our priority. The CCGrid organizers are closely monitoring the developments of COVID-19. Call For Papers The 22nd IEEE/ACM international Symposium on Cluster, Cloud and Internet Computing (CCGrid 2022) is a leading forum to disseminate and discuss research activities and results on a broad range of topics in distributed systems, ranging from computing Clusters to widely distributed Clouds and emerging Internet computing paradigms such as Fog/Edge Computing for Internet of Things (IoT)/Big Data applications. The conference features keynotes, technical presentations, posters, workshops, tutorials, as well as the SCALE challenge featuring live demonstrations and the ICFEC 2022 conference. We solicit original contributions on all aspects of distributed systems and applications in the context of Cluster, Cloud, and Internet computing environments. Specific topics of interest include but are not limited to the following: Track 1: Future Internet computing systems Topics in the track: - Internet Computing Frontiers: Edge, Fog, Serverless, Lambda, Streaming, Highly decentralized approaches to cloud computing. Edge/Fog computing, sensor data streaming and computation on the edges of the network. Function as a Service (Faas), Backend as a Service (BaaS), serverless computing, lambda computing. - Future Internet: 5G/6G and Use cases of 5G/6G system. Software defined networking and 5G/6G. 5G/6G cyber security challenges and concerns Machine learning algorithms for 5G/6G systems; - Osmotic Computing: Cloud Continuum with Osmosis behaviors, Micro Services and MicroData, Software Defined Membranes; - Cloud-Economics: Trustworthiness of services, ecosystem economics, innovative metering, accounting, and billing methods and tools, automated trading and bidding support tools, performance monitoring, optimization, prediction, energy efficiency, sustainability, decision support systems. Track 2: Programming models and runtime systems Topics in the track: - Programming Models and Runtime Systems: Programming models, languages, systems and tools/environments. Virtualization, containers, and middleware technologies. Actors, agents, programming decentralized computing systems. Track 3: Distributed middleware and network architectures Topics in the track: - Architecture, Networking, Data Centers: Service oriented architectures. Utility computing models. IaaS, PaaS, SaaS, *aaS paradigms. Service composition and orchestration. Software-Defined Network-enabled Systems. Micro-datacenter, cloudlet, edge, or fog computing infrastructure. Virtualized hardware: GPUs, tensor processing units, FPGAs; - Cloud-to-Things continuum: Service provisioning and monitoring in a Cloud-to-Things environment; Resource elasticity in Cloud-to-Things contexts; Algorithms and systems for automated elasticity; Blockchain-based resource orchestrator; Machine learning techniques for resource orchestration; Security policies in Cloud-to-Things. Track 4: Storage and I/O systems Topics in the track: - Storage and I/O Systems: Distributed storage, cloud storage, Storage as a Service, data locality techniques for in-memory processing, storage in the edge. Track 5: Security, privacy, trust and resilience Topics in the track: - Cyber-Security, Privacy and Resilient Distributed Systems: Distributed. Systems security and trust Access control. Data privacy and integrity.. Regulation. Resiliency of service attacks. Track 6: Performance modeling, scheduling, and analysis Topics in the track: - Resource Management and Scheduling: Resource allocation algorithms, profiling, modeling. Cluster, cloud, and internet computing scheduling and meta-scheduling techniques; - Performance Modelling and Evaluation: Performance models. Monitoring and evaluation tools. Analysis of system/application performance. Track 7: Sustainable and green computing Topics in the track: - Sustainable and Green Computing: Environment friendly computing ecosystems. Hardware/software/application energy efficiency. Power, cooling and thermal awareness. Track 8: Scientific and industrial applications Topics in the track: - Applications: Data Science, Artificial Intelligence, Machine Learning, Cyber-Physical Systems, e-Health, Internet of Things (IoT)-enabled Smart Systems and Applications; - Digital Twins: Digital Twins and Industry 4.0. Digital Twins and emerging technologies linked to IoT Platforms. Digital Twin the virtual replica of a physical entity. Track 9: Artificial intelligence, Machine Learning and Deep Learning Topics in the track: - Artificial Intelligence: Large Scalable Machine Learning, AI at the Edge and in the Cloud. Cognitive computing; - Machine learning: deep learning, statistical learning, natural language processing, computer vision, data mining, multiagent systems, knowledge representation; - Applicative domains: healthcare, sustainability, transportation, commerce,neuroscience and cognitive science; - Quantum machine learning. ================================================================================ Paper Submission: ================= Authors are invited to submit papers electronically through the following link: https://fcrlab.unime.it/ccgrid22/paper-submission/ < https://protect-au.mimecast.com/s/nR_HCQnzDmsk1JZ3NCP0BrY?domain=fcrlab.uni… > Submitted manuscripts should be structured as technical papers and may not exceed 10 letter size (8.5 x 11) pages including figures, tables and references using the IEEE format for conference proceedings. All manuscripts will be reviewed and will be judged on correctness, originality, technical strength, significance, quality of presentation, and relevance to the conference attendees. Submitted papers must represent original unpublished research that is not currently under review for any other conference or journal. Papers not following these guidelines will be rejected without review and further action may be taken, including (but not limited to) notifications sent to the heads of the institutions of the authors and sponsors of the conference. Submissions received after the due date, exceeding length limit, or not appropriately structured may also not be considered. Authors may contact the conference chairs for more information. The proceedings will be published through the IEEE Press, USA and will be made online through the IEEE and ACM Digital Libraries. Important Dates: ================== Timezone: Anywhere in the world! Paper Due (Abstract): 24 November 2021 (Final paper submission: 01 December 2021) Full Paper Due: 01 December 2021 Acceptance Notification: 04 February 2022 Camera Ready Papers Due: 06 March 2022 Best Paper Awards: ================== CCGrid will present Best Paper Awards to the author(s) of top three papers selected by the Program Committee. The award will be determined based on review comments and ratings, viewpoints of the technical and scientific merits, impact on the science and engineering of the research work and the clarity of presentation of the research contents in the paper. Journal Special Issue: ====================== Highly top rated papers from the CCGrid 2022 conference will be invited for submission of extended version for publication in one of the following special issues: - "Software: Practice and Experience" Journal published by Wiley Press; - "Green Communications via Optimization Techniques" for Sustainable Computing: Informatics and Systems published by Elsevier. General Co-Chairs: ================== Massimo Villari, University of Messina , Italy Omer Rana , Cardiff University, UK Program Committee Co-Chairs: ============================= Maria Fazio, University of Messina, Italy Radu Prodan University of Klagenfurt Austria Dhabaleswar K. (DK) Panda Ohio State University. USA Workshop Co-Chairs: ============================== Haiying Shen, University of Virginia, USA Antonio Celesti, University of Messina, Italy Publicity Co-Chairs: ============================== Jithin Jose, Microsoft, USA Bahman Javadi, Western Sydney University, Australia Ching-Hsien Hsu, National Chung Cheng University, Taiwan Carlos Westphall, Federal University of Santa Catarina, Brazil Zhicheng Cai, Nanjing University of Science and Technology, China Helene Coullon, Inria, France Sukhpal Singh Gill, Queen Mary University of London, UK Antonino Galletta, University of Messina, Italy Vice Chairs: ============================== Track 1: Future Internet computing systems: Hai Jin, Huangzong University of Science and Technology, China Lydia Y. Chen, TU Delft, Netherlands Track 2: Programming models and runtime systems: Taisuke Boku, University of Tsukuba, Japan Martin Schulz, Technical University of Munich, Germany Track 3: Distributed middleware and network architectures: Nectarios Koziris, National Technical University of Athens, Greece Hari Subramoni, Ohio State University, USA Track 4: Storage and I/O systems: Suren Byna, Lawrence Berkeley National Laboratory, USA Maria S. Perez, Universidad Politecnica de Madrid, Spain Track 5: Security, privacy, trust and resilience: Erman Ayday, Case Western Reserve University, USA Richard Sinnott, University of Melbourne, Australia Track 6: Performance modeling, scheduling, and analysis: Sameer Shende, University of Oregon, USA Ana Lucia Varbanescu, University of Amsterdam, Netherlands Track 7: Sustainable and green computing: Young Choon Lee, Macquarie University, Australia Wu Feng, Virginia Tech, USA Track 8: Scientific and industrial applications: Vipin Chaudhary, Case Western Reserve University, USA Dana Petcu, West University of Timisoara, Romania Track 9: Artificial intelligence, Machine Learning and Deep Learning: Manish Parashar, University of Utah, USA Ashiq Anjum, University of Leicester, UK CCGrid Steering Committee: ========================= Henri Bal, Vrije University, The Netherlands Pavan Balaji, Argonne National Laboratory, USA Rajkumar Buyya, University of Melbourne, Australia Franck Capello, University of Paris-Sud, France Jesus Carretero, Universidad Carlos III de Madrid, Spain Ewa Deelman, University of Southern California/ISI, USA Marios Dikaiakos, University of Cyprus, Cyprus Jack Dongarra, University of Tennessee & ORNL, USA Tarek El-Ghazawi, George Washington University, USA Dick Epema, Technical University of Delft, The Netherlands Thomas Fahringer, University of Innsbruck, Austria Ian Foster, University of Chicago, USA Wolfgang Gentzsch, UberCloud, Germany Hai Jin, Huazhong University of Science & Technology, China Craig Lee, The Aerospace Corporation, USA Laurent Lefevre, INRIA, France Manish Parashar, Rutgers: The State University of New Jersey, USA Shikharesh Majumdar, Carleton University, Canada Satoshi Matsuoaka, Tokyo Institute of Technology, Japan George Pallis, University of Cyprus, Cyprus Dhabaleswar K Panda, The Ohio State University, USA Omer Rana, Cardiff University, UK Paul Roe, Queensland University of Technology, Australia Bruno Schulze, LNCC, Brazil Yogesh Simmhan, Indian Institute of Science, India Xian-He Sun, Illinois Institute of Technology, USA Nalini Venkatasubramanian, University of California, USA Carlos Varela, Rensselaer Polytechnic Institute, USA. Massimo Villari, University of Messina, Italy Cho-Li Wang, University of Hong Kong, China Cheng-Zhong Xu, University of Macau, China ================================================================================

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Call for Participation ScalA@SC: 12th Workshop on Latest Advances in Scalable Algorithms for Large-Scale Systems
by Engelmann, Christian 29 Oct '21

29 Oct '21

We apologize if you receive multiple copies of this notice. ----------------------------------------------------------------------------- ScalA21: 12th Workshop on Latest Advances in Scalable Algorithms for Large-Scale Systems held in conjunction with the SC21: The International Conference on High Performance Computing, Networking, Storage and Analysis in cooperation with the IEEE Computer Society Technical Consortium on High Performance Computing (TCHPC) November 19, 2021, St. Louis, MO, USA (Virtual Event) <http://www.csm.ornl.gov/srt/conferences/Scala/2021> Novel scalable scientific algorithms are needed in order to enable key science applications to exploit the computational power of large-scale systems. This is especially true for the current tier of leading petascale machines and the road to exascale computing as HPC systems continue to scale up in compute node and processor core count. These extreme-scale systems require novel scientific algorithms to hide network and memory latency, have very high computation/communication overlap, have minimal communication, and have no synchronization points. With the advent of Big Data and AI in the past few years the need of such scalable mathematical methods and algorithms able to handle data and compute intensive applications at scale becomes even more important. Scientific algorithms for multi-petaflop and exa-flop systems also need to be fault tolerant and fault resilient, since the probability of faults increases with scale. Resilience at the system software and at the algorithmic level is needed as a crosscutting effort. Finally, with the advent of heterogeneous compute nodes that employ standard processors as well as GPGPUs, scientific algorithms need to match these architectures to extract the most performance. This includes different system-specific levels of parallelism as well as co-scheduling of computation. Key science applications require novel mathematical models and system software that address the scalability and resilience challenges of current- and future-generation extreme-scale HPC systems. Workshop Program --------------- The workshop will be held as a live online session on Friday, November 19 2021, 8:30 - 12:00 in the US Central Standard Time Zone. The workshop program is also listed in the SC online program: Session - 12th Workshop on Latest Advances in Scalable Algorithms for Large-Scale Systems<https://sc21.supercomputing.org/session/?sess=sess334>. * 8:30 - 10:00 Session 1 * 8:30 - 8:40 Opening * 8:40 - 9:20 Invited talk: "Intelligent Simulations: How Combining AI and HPC Can Enable New Discoveries", Prof. Ian Foster (University of Chicago and Argonne National Laboratory) (Abstract)<https://www.csm.ornl.gov/srt/conferences/Scala/2021/foster.html> * 9:20 - 9:40 Paper 1: "Iterative methods with mixed-precision preconditioning for ill-conditioned linear systems in multiphase CFD simulations," Takuya Ina, Yasuhiro Idomura, Toshiyuki Imamura, Susumu Yamashita, and Naoyuki Onodera * 9:40 - 10:00 Paper 2: "Optimized Cascadic Multigrid Parareal Method for Explicit Time-Marching Scheme," Yen-Chen Chen and Kengo Nakajima * 10:00 - 10:30 Coffee break (coffee on your own) * 10:30 - 12:00 Session 2 * 10:30 - 10:50 Paper 3: "Unleashing the performance of bmSparse for the sparse matrix multiplication in GPUs," Gonzalo Berger, Manuel Freire, Renzo Marini, Ernesto Dufrechou, and Pablo Ezzatti * 10:50 - 11:10 Paper 4: "Passel: Improved Scalability and Efficiency of Distributed SVM using a Cacheless PGAS Migrating Thread Architecture," Brian Page and Peter Kogge * 11:10 - 11:30 Paper 5: "Batched Sparse Iterative Solvers for Computational Chemistry Simulations on GPUs," Isha Aggarwal, Aditya Kashi, Pratik Nayak, Cody J. Balos, Carol S. Woodward, and Hartwig Anzt * 11:30 - 11:50 Paper 6: "Usability of Markov Chain Monte Carlo preconditioners in practical problems," Anton Lebedev, Vassil Alexandrov, and Emre Sahin * 11:50 - 12:00 Closing Best regards, Christian Engelmann, Oak Ridge National Laboratory, USA (Workshop Program Co-chair) on behalf of, Vassil Alexandrov, Hartree Centre, Science and Technology Facilities Council, UK (Workshop Co-chair) Al Geist, Oak Ridge National Laboratory, USA (Workshop Co-chair) Jack Dongarra, University of Tennessee, Knoxville, USA (Workshop Co-chair)

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2022 Luis W. Alvarez Postdoc Fellowship and Admiral Grace Hopper Postdoc Fellowship at Berkeley Lab
by Esmond G. Ng 26 Oct '21

26 Oct '21

Berkeley Lab is now accepting applications for the 2022 Luis W. Alvarez Postdoctoral Fellowship and the 2022 Admiral Grace Hopper Postdoctoral Fellowship in the Computing Sciences Area. Apply now for these two prestigious fellowships! Researchers in computer science, mathematics, or any computational science discipline who have received their Ph.D. within the last three years (i.e., no earlier than January 1, 2019) are encouraged to apply. The successful applicants will receive a competitive salary, professional travel allowance, relocation assistance, excellent benefits, and an opportunity to work in the San Francisco Bay Area. Since its founding in 2002, the Luis W. Alvarez Fellowship has cultivated exceptional young scientists who have gone on to make outstanding contributions to computational and computing sciences. The Admiral Grace Hopper Fellowship was established in 2015. Additional information on the Luis W. Alvarez Postdoctoral Fellowship and the Admiral Grace Hopper Postdoctoral Fellowship can be found at https://cs.lbl.gov/careers/computing-fellowships/. Berkeley Lab’s Computing Sciences Area researches, develops, and deploys new tools and technologies to meet these needs and to advance research in our core capabilities of computer science, mathematics, and computational science. In addition to fundamental advances in our core capabilities, we impact such areas as materials science, chemistry, biology, astrophysics, climate change, combustion, and fusion energy. Research areas in Computing Sciences include but are not limited to: developing scientific applications and software technologies for extreme-scale and energy-efficient computing; developing mathematical modeling for complex scientific problems; designing algorithms to improve the performance of scientific applications; researching digital and post-digital computer architectures for science; advancing extreme-scale scientific data management, analysis, and machine-learning; developing next-generation machine learning and AI approaches for science; advancing quantum computing technologies, software, algorithms and applications; evaluating or developing new and promising HPC systems and networking technologies researching methods to control and manage dynamic circuit networks; developing large-scale visualization and analytics technologies; and managing scientific data in distributed environments Application Process: For consideration applications are due November 22, 2021. Letters of Reference are due November 29, 2021. Details of the application process can be found by search for job 93892 at https://jobs.lbl.gov/.

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CFP: Australasian Symposium on Parallel and Distributed Computing (AusPDC), Feb 2022
by Bahman Javadi 26 Oct '21

26 Oct '21

AusPDC 2022 will be held online in conjunction with Australasian Computer Science Week (ACSW 2022), 14 - 18 February 2022 (http://acsw.core.edu.au/) **SCOPE OF THE SYMPOSIUM** In 2010, AusGrid event was broadened to include all aspects of parallel and distributed computing and hence was called as Australasian Symposium on Parallel and Distributed Computing (AusPDC). Following a couple of successful events, it comes to the 20th in 2022 in the series. In both New Zealand and Australia parallel and distributed computing has been recognised as strategic technologies for driving their moves towards knowledge economies. The symposium is primarily targeted at researchers from Australia and New Zealand, however, in the spirit of parallel and distributed computing, which aims to enable collaboration of distributed virtual organizations, and also the conference being held online this year, we encourage papers and participation from international researchers. **TOPICS OF INTEREST** - Cloud computing - Fog/edge computing - Grid and Cluster computing - Big Data processing and analytics - Virtualization, containers, unikernels, orchestration and other enablers - Security, trust and privacy in Clouds/Fog/Edge - Mobile, sensor networks and Internet of things - Data storage, placement and replication - Distributed Ledger Technologies and Blockchains - Multi-core systems - Peer-to-peer computing - GPUs and other forms of special purpose processors - Service computing and workflow management - Managing large distributed data sets - Middleware and tools - Network function virtualisation and Software defined networks - Performance evaluation and modelling - Datacentre and Interconnection networks - Performance accelerators - Problem-solving environments - Parallel programming models, languages and compilers - Operating systems and runtime systems - Resource scheduling and load balancing - Data mining and machine learning - Computational Science and Engineering - Agent-based computing - Reliability, security, privacy and dependability - e-Science and e-Health Applications **IMPORTANT DATES** Paper submissions due: 19 November 2021 Author notification: 19 December 2021 Camera-ready full papers due: 14 January 2021 Conference dates: 14 - 18 February 2022 **PAPER SUBMISSION** The proceedings of the symposium will be published by ACM in conjunction with ACSW 2022. Papers should be formatted in double-column according to ACM conference paper formatting guidelines ACM SIG Proceedings Templates. The following guidelines must be met for all submissions: - Submissions must be in English. - Submissions must not exceed 10 pages for full papers, 4 pages for short papers and 2 pages for posters. - Submissions must be in PDF format. Other formats will not be accepted. - Submissions must clearly state the problem being addressed, the goal of the work, the results achieved, and the relation to other work. - Submissions must be original contributions that have not been published previously, nor already submitted to other conferences or journals in parallel with this conference. - Authors must choose the appropriate satellite conference or workshop for your submission Papers are to be submitted via the ACSW 2022 Easy Chair Submission Site ( https://easychair.org/my/conference?conf=acsw2022) Upon logging into the system, please select “New Submission”, then select "Australasian Symposium on Parallel and Distributed Computing" track and proceed through the steps for submission. Every submission will be reviewed by a minimum of three members of the program committee. **PAPER AWARDS** A selection commission chaired by the AusPDC technical programme committee will select and acknowledge the best paper and the best student paper to receive an award during the conference. Committee **GENERAL CO-CHAIRS** Rajkumar Buyya, University of Melbourne, Australia Bahman Javadi, Western Sydney University, Australia **PROGRAM COMITTEE CHAIRS** Adel N. Toosi, Monash University, Australia Sara Khalifa, CSIRO’s Data61, Australia **STEERING COMMITTEE** Schahram Dustdar, Technical University of Vienna, Austria Zahir Tari, RMIT University, Australia Salil Kanhere, University of New South Wales, Sydney, Australia Yun Yang, Swinburne University of Technology, Australia Javid Taheri, Karlstad University, Sweden **VENUE** Due to COVID-19, AusPDC 2022 will be held online this year. **CONTACT** All questions about submissions should be emailed to program chairs. For further information, see https://sites.google.com/monash.edu/auspdc2022

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Call for Papers: Special Issue on Foundations of Data Science with Machine Learning Journal
by calls＠dsaa.co 21 Oct '21

21 Oct '21

Call for Papers: Special Issue on Foundations of Data Science with Machine Learning Journal Data science is a hot topic with an extensive scope, both in terms of theory and applications. Machine Learning forms one of its core foundational pillars. Simultaneously, Data Science applications provide important challenges that can often be addressed only with innovative Machine Learning algorithms and methodologies. This special issue on Foundations of Data Science with Machine Learning Journal (MLJ) will highlight the latest development of the Machine Learning foundations of data science and on the synergy of data science and machine learning. Following the great success of the 2021 MLJ special issue with DSAA’2021, this 2022 special issue will further capture the state-of-the-art machine learning advances for data science. We welcome new developments in statistics, mathematics, informatics and computing-driven machine learning for data science, including foundations, algorithms and models, systems, innovative applications and other research contributions. Accepted papers will be published in MLJ and presented at a Journal Track of the 2022 IEEE International Conference on Data Science and Advanced Analytics (DSAA’2022) in Shenzhen, October 2022. Topics of Interest We welcome original and well-grounded research papers on all aspects of foundations of data science including but not limited to the following topics: ● Machine Learning Foundations for Data Science Auto-ML Information fusion from disparate sources Feature engineering, embedding, mining and representation Learning from network and graph data Learning from data with domain knowledge Reinforcement learning Non-IID learning, nonstationary, coupled and entangled learning Heterogeneous, mixed, multimodal, multi-view and multi-distributional learning Online, streaming, dynamic and real-time learning Causality and learning causal models Multi-instance, multi-label, multi-class and multi-target learning Semi-supervised and weakly supervised learning Representation learning of complex interactions, couplings, relations Deep learning theories and models Evaluation of data science systems Open domain/set learning ● Emerging Impactful Machine Learning Applications Data preprocessing, manipulation and augmentation Autonomous learning and optimization systems Digital, social, economic and financial (finance, FinTech, blockchains and cryptocurrencies) analytics Graph and network embedding and mining Machine learning for recommender systems, marketing, online and e-commerce Augmented reality, computer vision and image processing Risk, compliance, regulation, anomaly, debt, failure and crisis Cybersecurity and information disorder, misinformation/fake detection Human-centered and domain-driven data science and learning Privacy, ethics, transparency, accountability, responsibility, trust, reproducibility and retractability Fairness, explainability and algorithm bias Green and energy-efficient, scalable, cloud/distributed and parallel analytics and infrastructures IoT, smart city, smart home, telecommunications, 5G and mobile data science and learning Government and enterprise data science Transportation, manufacturing, procurement, and Industry 4.0 Energy, smart grids and renewable energies Agricultural, environmental and spatio-temporal analytics and climate change Contributions must contain new, unpublished, original and fundamental work relating to the Machine Learning Journal’s mission. All submissions will be reviewed using rigorous scientific criteria whereby the novelty of the contribution will be crucial. Submission Instructions Submit manuscripts to: http://MACH.edmgr.com. Select this special issue as the article type. Papers must be prepared in accordance with the Journal guidelines: https://www.springer.com/journal/10994 All papers will be reviewed following standard reviewing procedures for the Journal. Key Dates We will have a continuous submission/review process starting in Oct. 2021. Last paper submission deadline: 1 March 2022 Paper acceptance: 1 June 2022 Camera-ready: 15 June 2022 Guest Editors Longbing Cao, University of Technology Sydney, Australia Joao Gama, University of Porto, Portugal Nitesh Chawla, University of Notre Dame, United States Joshua Huang, Shenzhen University, China

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CfC 26th Ada-Europe Int. Conf. Reliable Software Technologies
by Dirk.Craeynest＠cs.kuleuven.be 20 Oct '21

20 Oct '21

----------------------------------------------------------------------- Call for Contributions 26th Ada-Europe International Conference on Reliable Software Technologies (AEiC 2022) 14-17 June 2022, Ghent, Belgium www.ada-europe.org/conference2022 Organized by Ada-Europe in cooperation with ACM SIGAda (approval pending) and Ada Resource Association (ARA) #AEiC2022 #AdaEurope #AdaProgramming ----------------------------------------------------------------------- *** General Information The 26th Ada-Europe International Conference on Reliable Software Technologies (AEiC 2022) will take place in Ghent, Belgium, in the week of 14-17 June, in dual mode, with a solid core of in-presence activities accompanied by digital support for remote participation. The conference schedule comprises a journal track, an industrial track, a work-in-progress track, a vendor exhibition, parallel tutorials, and satellite workshops. *** Schedule 16 January 2022: Submission deadline for journal-track papers, tutorials and workshop proposals. 27 February 2022: Submission deadline for industrial-track and work-in-progress-track abstracts. 14 March 2022: Notification of invitations-to-present for journal-track papers. Notification of acceptance for all other types of submission. 3 April 2022: Publication of advance program. *** Topics The conference is an established international forum for providers, practitioners and researchers in reliable software technologies. The conference presentations will illustrate current work in the theory and practice of developing, running and maintaining challenging long-lived, high-quality software systems for a variety of application domains including manufacturing, robotics, avionics, space, health care, transportation, cloud environments, smart energy, serious games. The program will allow ample time for keynotes, Q&A sessions and discussions, and social events. Participants include practitioners and researchers from industry, academia and government organizations active in the promotion and development of reliable software technologies. The topics of interest for the conference include but are not limited to: - Real-Time and Safety-Critical Systems: design, implementation and verification challenges, novel approaches, e.g., Mixed-Criticality Systems, novel scheduling algorithms, novel design and analysis methods; - High-Integrity Systems and Reliability: theory and practice of High-Integrity Systems, languages vulnerabilities and countermeasures, architecture-centred development methods and tools; - Reliability-oriented Programming Languages (not limited to Ada): compilation and runtime challenges, language profiles, use cases and experience reports, language education and training initiatives; - Experience Reports: case studies, lessons learned, and comparative assessments. Refer to the conference website for the full list of topics. *** Call for Journal-track Submissions Following the journal-first model inaugurated in 2019, the conference includes a journal-track that seeks original and high-quality submissions that describe mature research work in the scope of the conference. Accepted papers for this track will be published in the "Reliable Software Technologies (AEiC2022)" Special Issue of the Journal of Systems Architecture (JSA). General information for submitting to the JSA can be found at https://www.journals.elsevier.com/journal-of-systems-architecture. Submissions should be made online at https://www.editorialmanager.com/jsa/ by selecting the "VSI:AEiC2022" option for the paper type. In order to speed up publication, the JSA has adopted the Virtual Special Issue model, whereby acceptance decisions are made on a rolling basis. On that account, authors are encouraged to submit as early as they can, no later than 16 January 2022. Authors who have successfully passed the first round of review will be invited to present their work at the conference. Ada-Europe, the main conference sponsor, will cover the Open Access fees for the first four papers to gain final acceptance, which do not already enjoy OA from personalized bilateral agreements with the Publisher. Prospective authors may direct all enquiries regarding this track to the corresponding chair, Jérôme Hugues, at the listed address. *** Call for Industrial-track Submissions The conference seeks industrial practitioner presentations that deliver insight on the challenges of developing reliable software. Given their applied nature, such contributions will be subject to a dedicated practitioner-peer review process. Interested authors shall submit a short (one-to-two pages) abstract, by 27 February 2022, via https://easychair.org/conferences/?conf=aeic2022, strictly in PDF, following the Ada User Journal style (cf. http://www.ada-europe.org/auj/) The abstract of the accepted contributions will be included in the conference booklet. The corresponding authors will get a presentation slot in the prime-time technical program of the conference, and will also be invited to expand their contributions into full-fledged articles for publication in the Ada User Journal, which will form the proceedings of the Industrial track of the Conference. Prospective authors may direct all enquiries regarding this track to the corresponding chair, Alejandro R. Mosteo, at the listed address. *** Call for Work-in-Progress-track Submissions The Work-in-Progress track seeks two kinds of submissions: (a) ongoing research, and (b) early-stage ideas. Ongoing research submissions are 4-page papers that describe research results that are not mature enough to be submitted to the journal track as yet. Early-stage ideas, are 1-page papers that pitch new research directions that fall in the scope of the conference. Both kinds of submission must be original and shall undergo anonymous peer review. Submissions by recent MSc graduates and PhD students are especially sought. Authors shall submit their work by 27 February 2022, via https://easychair.org/conferences/?conf=aeic2022, strictly in PDF, following the Ada User Journal style (cf. http://www.ada-europe.org/auj/) The abstract of the accepted contributions will be included in the conference booklet. The corresponding authors will get a presentation slot in the prime-time technical program of the conference, and will also be offered the opportunity to expand their contributions into 4-page articles for publication in the Ada User Journal, which will form the proceedings of the WiP track of the Conference. Prospective authors may direct all enquiries regarding this track to the corresponding chair, Frank Singhoff, at the listed address. *** Academic Listing The Journal of Systems Architecture, publication venue of the journal-track proceedings of the conference, was ranked Q1 (SJR) in the year 2020, also featuring 72th percentile in CiteScope (Scopus). The Ada User Journal, venue of all other technical proceedings of the conference, is indexed by Scopus and by EBSCOhost in the Academic Search Ultimate database. *** Awards Ada-Europe will offer an honorary award for the best technical presentation, to be announced in the closing session of the conference. *** Call for Tutorials The conference seeks tutorials in the form of educational seminars on themes falling within the conference scope, with an academic or practitioner slant, including hands-on or practical elements. Tutorial proposals shall include a title, an abstract, a description of the topic, an outline of the presentation, the proposed duration (half day or full day), the intended level of the contents (introductory, intermediate, or advanced), and a statement motivating attendance. Tutorial proposals shall be submitted by e-mail to the Workshop and Tutorial Chair, Aurora Agar Armario, at the listed address, with subject line: "[AEiC 2022: tutorial proposal]". The authors of accepted full-day tutorials will receive a complimentary conference registration, halved for half-day tutorials. The Ada User Journal will offer space for the publication of summaries of the accepted tutorials. *** Call for Workshops The conference welcomes satellite workshops centred on themes that fall within the conference scope. Proposals may be submitted for half- or full-day events, to be scheduled at either end of the conference proper. Workshop proposals shall be submitted by e-mail to the Workshop and Tutorial Chair, Aurora Agar Armario, at the listed address, with subject line: "[AEiC 2022: workshop proposal]". Workshop organizers shall also commit to producing the proceedings of the event, for publication in the Ada User Journal. *** Call for Exhibitors The conference will include a vendor and technology exhibition. Interested providers should direct inquiries to the Exhibition Chair. *** Venue The conference will take place in the heart of the city of Ghent, Belgium, capital of the East Flanders province, a halfhour train ride north-west of Brussels. Ghent is rich in history, culture and higher-education, with a top-100 university founded in 1817. *** Organizing Committee * Conference Chair Tullio Vardanega, University of Padua, Italy tullio.vardanega at unipd.it * Journal-track Chair Jérôme Hugues, Carnegie Mellon University, USA jjhugues at sei.cmu.edu * Industrial-track Chair Alejandro R.Mosteo, Centro Universitario de la Defensa, Zaragoza, Spain amosteo at unizar.es * Work-in-Progress-track Chair Frank Singhoff, University of Brest, France frank.singhoff at univ-brest.fr * Tutorial and Workshop Chair Aurora Agar Armario, NATO, the Netherlands aurora.agar at ncia.nato.int * Exhibition & Sponsorship Chair Ahlan Marriott, White Elephant GmbH, Switzerland software at white-elephant.ch * Publicity Chair Dirk Craeynest, Ada-Belgium & KU Leuven, Belgium dirk.craeynest at cs.kuleuven.be * Local Chair Vicky Wandels, University of Ghent, Belgium Vicky.Wandels at UGent.be *** Previous Editions Ada-Europe organizes annual international conferences since the early 80's. This is the 26th event in the Reliable Software Technologies series, previous ones being held at Montreux, Switzerland ('96), London, UK ('97), Uppsala, Sweden ('98), Santander, Spain ('99), Potsdam, Germany ('00), Leuven, Belgium ('01), Vienna, Austria ('02), Toulouse, France ('03), Palma de Mallorca, Spain ('04), York, UK ('05), Porto, Portugal ('06), Geneva, Switzerland ('07), Venice, Italy ('08), Brest, France ('09), Valencia, Spain ('10), Edinburgh, UK ('11), Stockholm, Sweden ('12), Berlin, Germany ('13), Paris, France ('14), Madrid, Spain ('15), Pisa, Italy ('16), Vienna, Austria ('17), Lisbon, Portugal ('18), Warsaw, Poland ('19), and online from Santander, Spain ('21). Information on previous editions of the conference can be found at http://www.ada-europe.org/confs/ae. ----------------------------------------------------------------------- Our apologies if you receive multiple copies of this announcement. Please circulate widely. Dirk Craeynest, AEiC 2022 Publicity Chair Dirk.Craeynest(a)cs.kuleuven.be * 26th Ada-Europe Int.Conf. Reliable Software Technologies (AEiC 2022) * June 14-17, 2022, Ghent, Belgium * www.ada-europe.org/conference2022

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Live e-Lecture by Petros Maragos: “Introduction to Tropical Geometry and its Applications to Machine Learning”, 26th October 2021 17:00-18:00 CET. Upcoming AIDA AI excellence lectures
by Ioanna Koroni 20 Oct '21

20 Oct '21

Dear AI scientist/engineer/student/enthusiast, Lecture by Prof. Petros Maragos (NTUA Laboratory on Intelligent Robotics and Automation, Greece), a prominent AI researcher internationally, will deliver the e-lecture: ‘Introduction to Tropical Geometry and its Applications to Machine Learning’, on Tuesday 26th October 2021 17:00-18:00 CET (8:00-9:00 am PST), (12:00 am-1:00am CST), see details in: <http://www.i-aida.org/event_cat/ai-lectures/> http://www.i-aida.org/event_cat/ai-lectures/ You can join for free using the zoom link: <https://authgr.zoom.us/s/99103637681> https://authgr.zoom.us/s/99103637681 & Passcode: 148148 The <http://www.i-aida.org/> International AI Doctoral Academy (AIDA), a joint initiative of the European R&D projects <https://ai4media.eu/> AI4Media, <https://www.elise-ai.eu/> ELISE, <https://www.humane-ai.eu/> Humane AI Net, <https://tailor-network.eu/> TAILOR, <https://www.vision4ai.eu/> VISION, currently in the process of formation, is very pleased to offer you top quality scientific lectures on several current hot AI topics. Lectures are typically held once per week, Tuesdays 17:00-18:00 CET (8:00-9:00 am PST), (12:00 am-1:00am CST). Attendance is free. Other upcoming lectures: 1. Prof. Nicolò Cesa-Bianchi (UNIVERSITA` DEGLI STUDI DI MILANO (UNIMI), Italy), 9th November 2021 17:00 – 18:00 CET. 2. Prof. Cees Snoek (UNIVERSITEIT VAN AMSTERDAM, Netherlands), 23rd November 2021 17:00 – 18:00 CET. More lecture infos in: <https://www.i-aida.org/event_cat/ai-lectures/?type=future> https://www.i-aida.org/event_cat/ai-lectures/?type=future The lectures are disseminated through multiple channels and email lists (we apologize if you received it through various channels). If you want to stay informed on future lectures, you can register in the email lists <https://lists.auth.gr/sympa/info/aida> AIDA email list and <https://lists.auth.gr/sympa/info/cvml> CVML email list. Best regards Profs. M. Chetouani, P. Flach, B. O’Sullivan, I. Pitas, N. Sebe -- This email has been checked for viruses by Avast antivirus software. https://www.avast.com/antivirus

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Multiple vacancies at the University of Melbourne
by Uwe Aickelin 16 Oct '21

16 Oct '21

We have advertised five opportunities to join the top ranked School of Computing and Information Systems in Australia (THES and QS). Please share with your networks and encourage applications.. Full details below. Algorithmic Fairness: https://jobs.unimelb.edu.au/en/job/906606/senior-lecturerassociate-professo… Machine Learning and Systems (two positions): https://jobs.unimelb.edu.au/caw/en/job/906506/lecturer-or-senior-lecturer-i… Digital Ethics: https://jobs.unimelb.edu.au/caw/en/job/906636/senior-lecturerassociate-prof… Information Systems: https://jobs.unimelb.edu.au/caw/en/job/904639/lecturersenior-lecturer-infor… Professor Uwe Aickelin | Head of School of Computing and Information Systems Faculty of Engineering and Information Technology Level 3, Melbourne Connect – 700 Swanston Street The University of Melbourne, Victoria 3010 Australia T: +61 3 8344 3635 E: uwe.aickelin(a)unimelb.edu.au<mailto:uwe.aickelin@unimelb.edu.au> http://aickelin.com/ | http://linkedin.com/in/aickelin

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[Call for Nomination] - BenchCouncil Distinguished Doctoral Dissertation Award
by haotianshu＠ict.ac.cn 11 Oct '21

11 Oct '21

[Apologies if you receive multiple copies] CALL FOR NOMINATION ========================================================== 2021 BenchCouncil Distinguished Doctoral Dissertation Award (1000$) https://www.benchcouncil.org/html/awards.html#doctor Submission deadline: October 15, 2021 End of Day, Anywhere on Earth (AoE) Online Nomination Form: https://forms.gle/BSTqXUBTgB4gG3EM8 ========================================================== Introduction ---------------- International Open Benchmark Council (BenchCouncil) established the BenchCouncil Distinguished Doctoral Dissertation Award program to recognize and encourage superior research and writing by doctoral candidates in the broad field of benchmarks, data, standards, evaluations, and optimization. Prof. Jack Dongarra from the University of Tennessee, Prof. Xiaoyi Lu from the University of California, Merced, and Dr. Jeyan Thiyagalingam from STFC-RAL will co-lead the Award Committee. Among the submissions, four candidates will be selected as finalists. They will be invited to give a 30-minute presentation at the 2021 BenchCouncil International Symposium on Benchmarking, Measuring and Optimizing (Bench’21, virtual, Nov 14-16, 2021) and contribute research articles to BenchCouncil Transactions on Benchmarks, Standards and Evaluations. Finally, one among the four will receive the award, which carries a $1,000 honorarium. Eligibility ------------------------ The committee welcomes the proposals from the following communities (but not limited to): architecture, systems, database, high-performance computing, machine learning or AI, medicine, bioinformatics, or other scientific disciplines. An eligibility cycle opens October 1, 2019, and ends the following October 15, 2021. Nominations are welcomed from any country. -- Only those who were awarded Ph.D. in the past two years are eligible for this award. -- Only the accepted final version of a nominated Ph.D. dissertation will be considered, and it must have been filed with the writer’s institution during the nomination cycle. -- The writer or the writer’s Ph.D. advisor can nominate a dissertation, and a dissertation may be nominated only once. -- The benchmarks, data, or tools that are the essential contributions of the dissertation should be open-sourced. -- The committee members cannot nominate their students. -- Each dissertation version submitted for consideration must include an English abstract of 3,000 words maximum. Submissions ------------------------ Online Nomination Form: https://forms.gle/BSTqXUBTgB4gG3EM8 Nominations for the BenchCouncil Doctoral Dissertation Award should be submitted using the online nomination form. Submitted materials should explain the contribution in terms understandable to a non-specialist. Each nomination involves several components: -- Name, address, phone number, and email address of the candidate's thesis advisor -- Name, address, and email address of the candidate. Affiliation should be the name of the school. -- Suggested citation. The citation should be a concise statement (maximum of 25 words) describing the critical technical or professional accomplishment for which the candidate merits this award. Note that the final wording for awardees will be at the discretion of the Award Committee. -- Nomination statement (200-300 words in length) addressing why the candidate should receive this award. This should address the significance of the dissertation, not simply repeat the information in the abstract. -- A copy of the dissertation. Each submitted dissertation for consideration must include an English abstract of maximally 3000 words. -- Endorsement letters. At least two supporting letters should be included from experts in the field who can provide additional insights or evidence of the dissertation’s impact. (The nominator/advisor may not write a letter of support.) Each letter should include the name, address, and telephone number of the endorser. The nominator should collect the letters and bundle them for submission. The endorsement letter and supporting letters can be combined in one file in your pdf upload. Review Criteria ------------------------ Dissertations will be reviewed for technical depth and significance of the research contribution, the potential impact on theory and practice. In the first round, the four candidates will be singled out. Each one will give a 30-minute presentation in the distinguished Ph. D. dissertation session chaired by the committee, and contribute research articles to BenchCounncil Transactions on Benchmarks, Standards and Evaluation. Finally, one candidate will be awarded the BenchCouncil Distinguished Doctoral Dissertation Award carrying a $1,000 honorarium. The award is presented each year at the Awards Banquet during BenchCouncil Bench Conference ( https://www.benchcouncil.org/bench/ ). Award Committee --------------------- Prof. Jack Dongarra, University of Tennessee Dr. Xiaoyi Lu, The University of California, Merced Dr. Jeyan Thiyagalingam, STFC-RAL Dr. Lei Wang, ICT, CAS Dr. Spyros Blanas, The Ohio State University 2021 BenchCouncil International Symposium on Benchmarking, Measuring and Optimizing (Bench’21) ========================================================== Bench’21 Website: http://www.benchcouncil.org/bench21/index.html Conference date: Nov. 14th - Nov. 16th, 2021 (Virtual) ========================================================== Bench’21 conference invites manuscripts describing original work in the area of benchmarking, evaluation methods and tools in Big Data, Artificial Intelligence, High-Performance Computing and Architectures. All accepted papers will be presented at the Bench’21 conference and will be published in a special issue of the BenchCouncil Transactions on Benchmarks, Standards and Evaluation (TBench, https://www.benchcouncil.org/journal.html ). Sponsored and organized by the BenchCouncil, Bench’s multi-disciplinary emphasis provides an ideal environment for developers and researchers from the architecture, system, algorithm, and application communities to discuss practical and theoretical work covering workload characterization, benchmarks and tools, evaluation, measurement and optimization, and dataset generation. BenchCounncil Transactions on Benchmarks, Standards and Evaluations BenchCouncil Transactions on Benchmarks, Standards and Evaluations (TBench) is an open-access multi-disciplinary journal dedicated to benchmarks, standards, evaluations, optimizations, and data sets. It will take a hybrid publication mode with the Bench Conference. Both TBench and Bench use a double-blind review process. Papers that are accepted to present at the Bench conference will appear in the issue of TBench immediately following acceptance. Meanwhile, the accepted TBench papers will be encouraged but not mandatory to register and present at the Bench conference. TBench will be OA without any charge. It seeks a fast-track publication with an average turnaround time of two months. Submit your paper at https://www.editorialmanager.com/tbench/default.aspx TBench Editorial Board Co-EIC Prof. Dr. Jianfeng Zhan, ICT, Chinese Academy of Sciences and BenchCouncil Prof. Dr. Tony Hey, Rutherford Appleton Laboratory STFC, UK Advisory Board Prof. Jack Dongarra, University of Tennessee, USA Prof. Geoffrey Fox, Indiana University, USA Prof. D. K. Panda, The Ohio State University, USA

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Online seminars in Tensor Computation, October to December
by Jeremy Gibbons 06 Oct '21

06 Oct '21

Department of Computer Science, University of Oxford Seminar Series on Tensor Computation http://www.cs.ox.ac.uk/seminars/Programming%20Languages/ The following seminars on tensor computation will take place at 4pm UK time on Fridays this coming term. (Note that the clocks change in the UK part way through the series!) The seminars will be held online, via Zoom. Registration instructions are on the webpage above. All are welcome. [Dr Albert Cohen](https://research.google/people/106208/), Google 15 Oct: *Herding Tensor Compilers* [Professor Jonathan Ragan Kelley](http://people.csail.mit.edu/jrk/), MIT 22 Oct: *Halide* [provisional title] [Dr Conal Elliott](http://conal.net/) 29 Oct: *Can Tensor Programming Be Liberated from the Fortran Data Paradigm?* **clocks change: UK moves from BST=UTC+1 to GMT=UTC** [Professor Markus Püschel](https://acl.inf.ethz.ch/people/markusp/), ETH Zürich 5 Nov: *Program Generation for Small Scale Linear Algebra* [Professor Martin Elsman](https://elsman.com/), Copenhagen 12 Nov: *Futhark* [provisional title] [Rohan Yadav](https://rohany.github.io/), Stanford 19 Nov: *Compilation of Sparse Array Programming Models* [provisional title] [Professor Gabrielle Keller](https://www.uu.nl/medewerkers/GKKeller), Utrecht 26 Nov: *Accelerate: High-Performance Computing in Haskell* [Dr Dimitrios Vytiniotis](https://dimitriv.github.io/), Google 3 Dec: *Automating Tensor Partitioning on Meshes of Accelerators* [provisional title] Seminar conveners: [Jeremy Gibbons](http://www.cs.ox.ac.uk/people/jeremy.gibbons/) [Peter Braam](https://www.braam.io/) Jeremy.Gibbons(a)cs.ox.ac.uk Oxford University Department of Computer Science, Wolfson Building, Parks Road, Oxford OX1 3QD, UK. +44 1865 283521 http://www.cs.ox.ac.uk/people/jeremy.gibbons/

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RAID 2021 (Research in Attacks, Intrusions, and Defenses): Call for Participation, Virtual and Donostia / San Sebastian, Spain on October 6-8, 2021
by Joaquin Garcia-Alfaro 30 Sep '21

30 Sep '21

** Apologies for Cross-postings -- please share ** The 24th International Symposium on Research in Attacks, Intrusions and Defenses (RAID 2021) Virtual & Donostia / San Sebastian, Spain -- 6-8 October 2021 https://raid2021.org/ Registration is due soon: https://raid2021.org/registration/ =========================================================================================== *** CALL FOR PARTICIPATION *** We invite you to attend RAID IN PERSON, the International Symposium on Research in Attacks, Intrusion and Defenses (RAID2021), one of the top information security conferences. The 24th edition of the conference will be held in a mixed mode, on site / online, preferably on site, at San Sebastian, Spain for three days October 6, 7 and 8, 2021. San Sebastian (Donostia in Basque language) is a beautiful city famous by its cuisine, boasting more Michelin stars per square metre than any other city on the planet. It is also listed among the World’s 20 Best Surf Towns by National Geographic. RAID organisation is composed of local and international recognised researchers in information Security. It aims at bringing together leading researchers and practitioners from academia, government, and industry to discuss novel research contributions related to computer and information security. The conference is known for the quality and thoroughness of the reviews of the papers submitted, the desire to build a bridge between research carried out in different communities, and the emphasis given on the need for sound experimental methods and measurement to improve the state of the art in cybersecurity. You can find all registration information and procedure at: http://raid2021.org/registration (*There are special discounts for students, and there will be a few student travel grants available (details being worked out) *) *** KEYNOTE *** - Mathias Payer (EPFL) "Riding the Fuzzing Hypetrain". More information at: https://raid2021.org/program/ *** SOCIAL ACTIVITIES *** Dinner in a traditional cider house, a boat trip around the bay of San Sebastian, and a fantastic Gala Dinner at a one Michelin star restaurant. More information at: https://raid2021.org/social-activities/ *** CONFERENCE PROGRAM *** The conference program includes different tracks presenting the latest state-of-the-art results in the topics of: Computer, network, and cloud computing security Malware and unwanted software Program analysis and reverse engineering Mobile Security Web security and privacy Vulnerability analysis techniques Usable security and privacy Intrusion detection and prevention Hardware security Cyber physical systems security and threats against critical infrastructures IoT security Statistical and adversarial learning for computer security Cyber crime and underground economies Denial-of-Service attacks and defenses Security measurement studies Digital forensics Program is now available at https://raid2021.org/program/ *** VENUE *** For travel arrangements, please check https://raid2021.org/venue-travel/

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CFP OLA'2022 Optimization & Learning @Sicilia Italy
by El-ghazali Talbi 30 Sep '21

30 Sep '21

Apologies for cross-posting. Appreciate if you can distribute this CFP to your network. **************************************************************************************** OLA'2022 International Conference on Optimization and Learning 18-20 July 2022 Syracuse (Sicilia), Italy http://ola2022.sciencesconf.org/ SCOPUS Springer Proceedings **************************************************************************************** OLA is a conference focusing on the future challenges of optimization and learning methods and their applications. The conference OLA'2022 will provide an opportunity to the international research community in optimization and learning to discuss recent research results and to develop new ideas and collaborations in a friendly and relaxed atmosphere. OLA'2022 welcomes presentations that cover any aspects of optimization and learning research such as big optimization and learning, optimization for learning, learning for optimization, optimization and learning under uncertainty, deep learning, new high-impact applications, parameter tuning, 4th industrial revolution, computer vision, hybridization issues, optimization-simulation, meta-modeling, high-performance computing, parallel and distributed optimization and learning, surrogate modeling, multi-objective optimization ... Submission papers: We will accept two different types of submissions: - S1: Extended abstracts of work-in-progress and position papers of a maximum of 3 pages - S2: Original research contributions of a maximum of 10 pages Important dates: =============== Invited session organization Dec 20, 2021 Paper submission deadline Jan 28, 2022 Notification of acceptance March 25, 2022 Proceedings: Accepted papers in categories S1 and S2 will be published in the proceedings. A SCOPUS and DBLP indexed Springer book will be published for accepted long papers. Proceedings will be available at the conference. -- ********************************************************************** OLA'2022 International Conference on Optimization and Learning 18-20 July 2022, Syracuse, Sicilia, Italy http://ola2022.sciencesconf.org *********************************************************************** Prof. El-ghazali TALBI Polytech'Lille, University Lille - INRIA CRISTAL - CNRS guide2research.com

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CFP: Resilient Bio-Inspired Algorithms @ Evostar 2022
by ccottap＠lcc.uma.es 28 Sep '21

28 Sep '21

Resilient Bioinspired Algorithms Special Session of the EvoApps 2022 conference Part of EvoStar 2022 -- http://www.evostar.org/2022/ 20-22 April 2022 Aims and Scope -------------- The Special Session on Resilient Bio-Inspired Algorithms (RBA) of EvoApps will provide a specialized forum of discussion and exchange of information for researchers interested in exploring bio-inspired approaches (swarm intelligence, evolutionary computing) to attain resilient systems and processes. Resiliency is a major topic after major disruptions like COVID-19 where many organizations/systems were too brittle to quickly adapt and they simply broke. Designers of bio-inspired techniques should focus on such systems and help in their design and/or operation, in order to make them more adaptable and capable of withstanding such disruptions. This is for example the case of many organization/industrial processes that work as goal-oriented complex systems, often using AI tools. It is not uncommon that AI-enhanced complex projects face difficulties due to maintenance issues, scalability problems, or disrupted operation in the presence of major external disturbances. Resilience is thus not only a desired property of the system to which AI is applied, but also a sought property for AI methods themselves. Topics of Interest ------------------ Topics of interest include, but are not limited to: Resilience and fault-tolerance in computational intelligence Resilience on AI engineering using bio-inspired computing Resilience on hyper-automation including evolutionary machine learning, evolutionary machine vision, and evolutionary robotics. Resilience on complex systems Resilience on evolutionary software engineering Real-world situations where robustness and trustworthiness of solutions are mandatory Emerging topics not traditionally discussed within the swarm and evolutionary computation where resiliency is of significant applicability Important Dates --------------- Submision: 1 November 2021 Notification: 8 January 2022 Conference: 20-22 April 2022 Organizers ---------- Carlos Cotta Universidad de Málaga, Spain ccottap(at)lcc.uma.es Gustavo Olague CICESE, Mexico olague(at)cicese.mx

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Call for Papers - 1st WORKSHOP ON PARALLEL PROGRAMMING IN THE EXASCALE ERA
by Sanmukh Kuppannagari 23 Sep '21

23 Sep '21

********************************************************************** We apologize if you received multiple copies of this email. Please feel free to distribute it to those who might be interested ********************************************************************** 1st WORKSHOP ON PARALLEL PROGRAMMING IN THE EXASCALE ERA (PPEE) https://hipc.org/call-for-ppee/ | https://ppee-workshop.github.io/ in conjunction with the 28th INTERNATIONAL CONFERENCE ON HIGH PERFORMANCE COMPUTING, DATA, and ANALYTICS (HIPC 2021) December 17-18, 2021 | Virtual Event, INDIA | www.hipc.org OVERVIEW The upcoming exascale systems will impose new requirements on application developers and programming systems to target platforms with hundreds of homogeneous and heterogeneous cores. The four critical challenges for exascale systems are extreme parallelism, power demand, data movement, and reliability. These systems are aimed to solve problems that were previously out of reach and improve the parallel performance of applications by a factor of 50x. The power budget for achieving a billion billion (quintillion) floating-point operations per second (exaflops) should be within 20-30 MW. Moving the data on these systems relative to the computation will be challenging due to complex memory hierarchies. It would be essential to keep the CPUs/accelerators busy once they have the data to avoid memory bottlenecks. Failures on these systems are anticipated to occur many times a day, such that the existing approach for resiliency, such as checkpointing and restart, will not work. TOPICS The goal of this workshop is to attract leading researchers to exchange ideas and share their work-in-progress and latest results to address the exascale software challenges. Topics of interest include, but are not limited to: * High-level programming models for many-cores / accelerators * Compilation techniques for hybrid CPU/accelerator parallelism * Intra-/Inter-node load balancing and scheduling * Runtime systems for high performance and high productivity * Comparisons of runtime systems and parallel programming models * OS/runtime and system software for many-core systems, accelerators, and non-uniform memory hierarchy * Optimizing data locality and data movement * Energy efficiency and optimizations * Resilience and fault-tolerance * Scalable algorithms * Scalable synchronization mechanisms * Concurrent data structures * Applying machine learning techniques in HPC IMPORTANT DATES Abstract Submission Deadline: October 24, 2021 (encouraged) Paper Submission Deadline: October 31, 2021 (hard deadline) Paper Notification: November 15, 2021 Presentation Slides Upload Deadline: November 22, 2021 All Deadlines are by 11:59 pm AOE (UTC-12) SUBMISSION INSTRUCTIONS Papers are to be submitted online in PDF format through Easychair at: https://easychair.org/conferences/?conf=ppee2021. Submitted manuscripts should be structured as technical papers and must not exceed five (5) single-spaced double-column pages using 10-point size font on 8.5×11 inch pages (IEEE conference style), including figures, tables, and references. The submitted paper should list the authors and their affiliations. The IEEE conference style templates for MS Word and LaTeX provided by IEEE eXpress Conference Publishing are available for download. See the latest versions here (https://www.ieee.org/conferences/publishing/templates.html) Electronic submissions must be in the form of a readable PDF file. The accepted papers will be invited for presentation at the workshop. However, these papers will NOT be published in the conference proceedings. This will allow the authors to publish an extended version of their paper at other venues after benefiting from reviewer feedback from the workshop. Papers will be judged on technical merit, quality, and relevance to the workshop. Plagiarism, in any form, especially verbatim reproduction from other published works, is prohibited. Papers that are plagiarized will be rejected, and the corresponding department and institution will be notified. ORGANIZATION COMMITTEE Vivek Kumar, Indraprastha Institute of Information Technology, Delhi Swarnendu Biswas, Indian Institute of Technology, Kanpur Vishwesh Jatala, Indian Institute of Technology, Bhilai NOTICE ABOUT COVID-19 We are closely monitoring the COVID-19 situation globally and in India in particular. The decision whether to hold the conference on-site or virtually will be made before October 2021. Should the conference be held on-site, we understand that travel to India and within India may still be difficult or even impossible for some. Because travel from outside India will require an entry visa and that there may be travel restrictions still in place, we will arrange some form of remote presentation for those authors. We do not have changes to how accepted papers will be published in IEEE Xplore — every accepted paper will have at least one author who will register at the notified (reduced) registration fee and also present the paper at the conference (virtually/physically). Regards, Sanmukh Kuppannagari Senior Research Associate University of Southern California https://sanmukh.github.io/

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13th HiPC Student Research Symposium (SRS)
by Sanmukh Kuppannagari 23 Sep '21

23 Sep '21

********************************************************************** We apologize if you received multiple copies of this email. Please feel free to distribute it to those who might be interested ********************************************************************** 13th HiPC Student Research Symposium (SRS) https://hipc.org/srs/ in conjunction with the 28th INTERNATIONAL CONFERENCE ON HIGH PERFORMANCE COMPUTING, DATA, and ANALYTICS (HIPC 2021) December 17-18, 2021 | Virtual Event, INDIA | www.hipc.org OVERVIEW HiPC 2021 will feature the 13th Student Research Symposium on High Performance Computing, Data, and Analytics (HPC) aimed at stimulating and fostering student research, and providing an international forum to highlight student research accomplishments. The symposium will also provide exposure to students in the best practices in HPC in academia and industry. The symposium will feature student posters and provide students with other enriching experiences, such as workshops, industry exhibits, and demos. The Conference Reception and multiple Student Symposium Poster Exhibit sessions will provide an opportunity for students to interact with HPC researchers and practitioners (and recruiters) from academia and industry. Awards for Best Poster, sponsored by IEEE Computer Society – Technical Committee on Parallel Processing (TCPP) – will be presented at the symposium. An online book containing the resumes of the students participating in the symposium will be compiled and made available to the sponsors of the HiPC 2021 conference. TOPICS Papers are solicited in all areas of high-performance computing, data, and analytics, including but not limited to topics mentioned below. High-Performance Computing Algorithms: This track invites papers that describe original research on developing new parallel and distributed computing algorithms, and related advances. Examples of topics that are of interest include (but not limited to): * New parallel and distributed algorithms and design techniques; * Advances in enhancing algorithmic properties or providing guarantees (e.g., fault tolerance, resilience, concurrency, data locality, communication-avoiding); * Classical and emerging computation models (e.g., parallel/distributed models, quantum computing, neuromorphic and other bioinspired models); * Provably efficient parallel and distributed algorithms for advanced scientific computing and irregular applications (e.g., numerical linear algebra, graph algorithms, computational biology); and * Algorithmic techniques for resource allocation and optimization (e.g., scheduling, load balancing, resource management). Architectures: This track invites papers that describe original research on the design and evaluation of high-performance computing architectures, and related advances. Examples of topics of interest include (but not limited to): * Design and evaluation of high-performance processing architectures (e.g., reconfigurable, system-on-chip, many cores, vector processors); * Design and evaluation of networks for high-performance computing platforms (e.g., interconnect topologies, network-on-chip); * Design and evaluation of memory, cache and storage architectures (e.g., 3D, photonic, Processing-In-Memory, NVRAM, burst buffers, parallel I/O); * Approaches to improve architectural properties (e.g., energy/power efficiency, reconfigurable, resilience/fault tolerance, security/privacy); and * Emerging computational architectures (e.g., quantum computing, neuromorphic and other bioinspired architectures). Applications: This track invites papers that describe original research on the design and implementation of scalable applications for execution on parallel and distributed platforms, and related advances. Examples of topics of interest include (but not limited to): * Design and implementation of shared and distributed memory parallel applications (e.g., scientific computing and industry applications, emerging applications in IoT and life sciences – biology, medicine, chemistry, etc.); * Design and simulation methodologies for scaling applications on peta and exascale platforms (e.g., co-design approaches, hardware/software co-design, heterogeneous and hybrid programming); * Hardware acceleration of parallel applications (e.g., CPU/GPUs, multi-GPU clusters, FPGA, vector processors, manycore); and * Design of application benchmarks for parallel and distributed platforms. Systems Software: This track invites papers that describe original research on the design, implementation, and evaluation of systems software for high-performance computing platforms, and related advances. Examples of topics of interest include (but not limited to): * Scalable systems and software architectures for high-performance computing (e.g., middleware, operating systems, I/O services); * Techniques to enhance parallel performance (e.g., compiler/runtime optimization, learning from application traces, profiling); * Techniques to enhance parallel application development and productivity (e.g., Domain-Specific Languages, programming environments, performance/correctness checking and debugging); * Techniques to deal with uncertainties, hardware/software resilience, and fault tolerance; Software for the cloud, data center, and exascale platforms (e.g., middleware tools, schedulers, resource allocation, data migration, load balancing); and * Software and programming paradigms for heterogeneous platforms (e.g., libraries for CPU/GPU, multi-GPU clusters, and other accelerator platforms). Data Science Scalable Algorithms and Analytics: This track invites papers that describe original research on developing scalable algorithms for data analysis at scale, and related advances. Examples of topics of interest include (but not limited to): * New scalable algorithms for fundamental data analysis tasks (supervised, unsupervised learning, and pattern discovery); * Scalable algorithms that are designed to address the characteristics of different data sources and settings (e.g., graphs, social networks, sequences, data streams); * Scalable algorithms and techniques to reduce the complexity of large-scale data (e.g., streaming, sublinear data structures, summarization, compressive analytics); * Scalable algorithms that are designed to address requirements in different data-driven application domains (e.g., life sciences, business, agriculture); and * Scalable algorithms that ensure the transparency and fairness of the analysis. Scalable Systems and Software: This track invites papers that describe original research on developing scalable systems and software for handling data at scale, and related advances. Examples of topics of interest include (but not limited to): * Design of scalable system software to support various applications (e.g., recommendation systems, web search, crowdsourcing applications, streaming applications); * Design of scalable system software for various architectures (e.g., OpenPower, GPUs, FPGAs); * Architectures and systems software to support various operations in large data frameworks (e.g., storage, retrieval, automated workflows, data organization, visualization, visual analytics, human-in-the-loop); * Design and implementation of systems software for distributed data frameworks (e.g., distributed file system, virtualization, cloud services, resource optimization, scheduling); and * Standards and protocols for enhancing various aspects of data analytics (e.g., open data standards, privacy-preserving, and secure schemes). IMPORTANT DATES Submission Opens: August 19, 2021 Submission Deadline: October 01, 2021 Accept/Reject Decision Notification: November 01, 2021 Symposium: December 17-18, 2021 ELIGIBILITY Submissions should have at least one author who is a student during any part of the calendar year 2021. Submissions may have multiple student or non-student co-authors. Submissions must mark student authors with an asterisk (*). SUBMISSION INSTRUCTIONS In order to be considered for a poster at the Student Research Symposium, authors must submit papers/extended abstracts, not exceeding five (5) letter size (8.5in x 11in) pages, in 11 or 12 point font, single-spaced, with 1” margins on all sides. Papers are to be submitted online in PDF format through Easychair at: https://easychair.org/conferences/?conf=hipc2021 The papers will be used to select posters, but will NOT be published in the conference proceedings. This will provide students the flexibility to publish an extended version of their paper at other venues, after benefiting from reviewer feedback from the symposium. Papers submitted to the symposium are expected to be reviewed by at least three independent reviewers. Papers will be judged on technical merit, quality, relevance to the symposium, and related parameters. Plagiarism, in any form, especially verbatim reproduction from other published works, is prohibited. Papers that are plagiarized will be rejected, and the corresponding department and institution will be notified. Facilities for displaying posters will be made available, and the exact specifications of the poster size will be provided later. At least one student author of each paper that is accepted must register and attend the conference to present their work. Papers with no-shows will be retroactively rejected. SYMPOSIUM CHAIRS Ashok Srinivasan, University of West Florida, USA Dip Sankar Banerjee, Indian Institute of Technology Jodhpur, India TECHNICAL PROGRAM COMMITTEE Ashok Srinivasan (Co-chair), University of West Florida Dip Banerjee (Co-chair), Indian Institute of Technology Jodhpur Mainak Adhikari, Indian Institute of Information Technology Lucknow Vikram Aggarwal, Google Ashish Anand, Indian Institute of Technology Guwahati Jayvant Anantpur, Mentor Graphics India Pvt Ltd Manu Awasthi, Ashoka University Suren Byna, Lawrence Berkeley National Laboratory Venkatachalam Chandrasekaran, Sri Sathya Sai Institute of Higher Learning Mainak Chaudhuri, Indian Institute of Technology Kanpur Meysam Ghaffari, Memorial Sloan Kettering Cancer Center Subramaniam KV, PES University Dumitrel Loghin, National University of Singapore Arash Mahyari, Florida Institute for Human and Machine Cognition Amit Majumdar, University of California San Diego, San Diego Supercomputer Center Sreepathi Pai, University of Rochester Madhura Purnaprajna, PES University Ponnuswamy Sadayappan, University of Utah Fahad Saeed, Florida International University Subodh Sharma, Indian Institute of Technology Delhi Jaya Sreevalsan-Nair, International Institute of Information Technology Bangalore Parimala Thulasiraman, University of Manitoba Hemanth Venkateswara, Arizona State University CONTACT Write to us at student_symposium [AT] hipc [DOT] org for more details.

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Live e-Lecture by Mihaela van der Schaar: “Machine learning for medicine and healthcare”, 21st September 2021 17:00-18:00 CET. Upcoming AIDA AI excellence lectures
by Ioanna Koroni 15 Sep '21

15 Sep '21

Dear AI scientist/engineer/student/enthusiast, Prof. Mihaela van der Schaar is the John Humphrey Plummer Professor of Machine Learning, Artificial Intelligence and Medicine at the University of Cambridge, a Fellow at The Alan Turing Institute in London, and a Chancellor’s Professor at UCLA. This prominent AI researcher internationally, will deliver the e-lecture: ‘Machine learning for medicine and healthcare’, on Tuesday 21st September 2021 17:00-18:00 CET (8:00-9:00 am PST), (12:00 am-1:00am CST), see details in: <http://www.i-aida.org/event_cat/ai-lectures/> http://www.i-aida.org/event_cat/ai-lectures/ You can join for free using the zoom link: https://authgr.zoom.us/j/95489189852 & Password: 148148 The <http://www.i-aida.org/> International AI Doctoral Academy (AIDA), a joint initiative of the European R&D projects <https://ai4media.eu/> AI4Media, <https://www.elise-ai.eu/> ELISE, <https://www.humane-ai.eu/> Humane AI Net, <https://tailor-network.eu/> TAILOR, <https://www.vision4ai.eu/> VISION, currently in the process of formation, is very pleased to offer you top quality scientific lectures on several current hot AI topics. Lectures will be offered alternatingly by: Top highly-cited senior AI scientists internationally or Young AI scientists with promise of excellence (AI sprint lectures) The lectures are disseminated through multiple channels and email lists (we apologize if you received it through various channels). If you want to stay informed on future lectures, you can register in the email lists <https://lists.auth.gr/sympa/info/aida> AIDA email list and <https://lists.auth.gr/sympa/info/cvml> CVML email list. Best regards Profs. M. Chetouani, P. Flach, B. O’Sullivan, I. Pitas, N. Sebe -- This email has been checked for viruses by Avast antivirus software. https://www.avast.com/antivirus

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CFP: Parallel Computational Technologies 2022 (Dubna, Russia, March 29–31, 2022)
by Цымблер Михаил Леонидов ич 08 Sep '21

08 Sep '21

FIRST ANNOUNCEMENT AND CALL FOR PAPERS Parallel Computational Technologies (PCT’2022), 16th International Scientific Conference, March 29–31, 2022, Dubna, Russia http://agora.guru.ru/pavt/eng https://link.springer.com/conference/pct Conference founders: Russian Academy of Sciences (http://www.ras.ru) HPC Consortium of Russian Universities (http://hpc-russia.ru) WELCOME Russian Academy of Sciences, High-Performance Computing Consortium of Russian Universities, Moscow State University, Joint Institute for Nuclear Research, and South Ural State University are jointly organizing the 16th International Scientific Conference on Parallel Computational Technologies (PCT’2022) to be held in Dubna, Russia, March 29–31, 2022. The main purpose of the PCT’2022 conference is to provide an opportunity to report and discuss the results achieved by leading research groups in solving practical issues using supercomputer and neural network technologies. The scope of the conference covers all aspects of the application of cloud, supercomputer and neural network technologies in science and technology such as applications, hardware and software, specific languages and packages. The 36th edition of Top50 of the CIS's most powerful computers will be announced on the first day of the conference. On working days of the conference, a supercomputer exhibition will be organized, where leading manufacturers of hardware and software present their latest products in the field of high performance computing. LANGUAGE The official languages of the Conference are Russian and English. SCOPE The scope of the conference includes, but not limited to, the following topics: * Parallel and distributed computing technologies * Cloud computing * Prospective multiprocessor architectures * Parallel and distributed database systems * High performance data mining * Artificial neural networks and deep learning * Management, administration, monitoring and testing of multiprocessor systems * Computational Mathematics * Computational Physics * Computational Chemistry * Gas hydrodynamics and heat transfer * High nonlinear and rapid processes in mechanics * Bioinformatics and medicine * Nanotechnology * Geoinformatics * Cryptography * Image processing and visualization * Computer algebra * Supercomputer education. CALL FOR PAPERS PCT’2022 admits papers presenting original contribution that have not been previously published and are not being submitted to another conference or journal. There are three categories of submissions: * Full paper describes the results of completed scientific research (12 to 15 pages in the LNCS one-column page format). * Short paper reports preliminary results of uncompleted scientific research (up to 12 pages in the LNCS one-column page format). * Abstract of the poster contains information about plans and initial results of recently started scientific research (one standard A4 page). Papers may be prepared in LaTeX or MS Word according to the LNCS one-column page format (see guidelines at the conference website http://agora.guru.ru/pavt2022/, "For Authors" section). Papers should be submitted electronically in PDF format through EasyChair system https://easychair.org/conferences/?conf=pct2022 by December 15, 2021. Each paper will be reviewed by three Program Committee members and/or invited experts to ensure high quality and relevance to the conference. At least one author of the accepted paper must attend the conference and present the paper. PROCEEDINGS All accepted full papers will be published in Springer’s Communications in Computer and Information Science series (https://link.springer.com/conference/pct, indexed in Web of Science and Scopus), final approval pending. All accepted short papers and posters will be published electronically and indexed in Russian Science Index. The best short papers in English will be recommended for publication in Supercomputing Frontiers and Innovations (http://superfri.org, indexed in Scopus, Q2). The best short papers in Russian will be published (after further revision) in Computational Mathematics and Software Engineering series of the Bulletin of the South Ural State University (http://vestnikvmi.susu.ru, indexed in Russian Science Citation Index on the Web of Science platform). IMPORTANT DATES * Submission of abstracts: December 1, 2021 * Submission of the papers: December 15, 2021 * Notification of acceptance: February 1, 2022 * Camera-ready version: February 15, 2022 * Registration for participation in supercomputer exhibition: March 1, 2022 * Registration of participants (non-speakers): March 21, 2022 * Conference: March 28, 2022: arrival date March 29–31, 2022: conference work dates April 1, 2022: departure date CONTACT INFORMATION WEB PAGES Conference web site: http://agora.guru.ru/pavt/eng Submission web site: https://easychair.org/conferences/?conf=pct2022. Leonid Sokolinsky, DSc., Prof. (SUSU, Chelyabinsk) Co-chair of the PCT Program Committee E-mail: Leonid.Sokolinsky(a)susu.ru Tel.: (+7-351) 272 35 00 Mikhail Zymbler, DSc., Assoc. Prof. (SUSU, Chelyabinsk) Academic secretary of the PCT Program Committee E-mail: mzym(a)susu.ru Tel.: (+7-351) 267 90 06, ext. 112 PROGRAM COMMITTEE Chairman of the Program Committee: Viktor Sadovnichiy, academician of RAS, Moscow State University (Russia) Co-chairs of the Program Committee: Jack Dongarra, University of Tennessee (USA) Leonid Sokolinsky, South Ural State University (Russia) Vladimir Voevodin, corresponding member of RAS, Moscow State University (Russia) Academic secretary of the Program Committee: Mikhail Zymbler, South Ural State University (Russia) Members of the Program Committee: S.V. Ablameyko, Belarusian State University (Republic of Belarus) A.P. Afanasiev, Institute for Systems Analysis RAS (Russia) E.N. Akimova, Institute of Mathematics and Mechanics UrB RAS (Russia) A. Andrzejak, Heidelberg University (Germany) P. Balaji, Argonne National Laboratory (USA) Y.Ya. Boldyrev, Saint-Petersburg Polytechnic University (Russia) J. Carretero, Carlos III University of Madrid (Spain) R.K. Gazizov, Ufa State Aviation Technical University (Russia) B.M. Glinsky, Institute of Computational Mathematics and Mathematical Geophysics SB RAS (Russia) V.D. Goryachev, Tver State Technical University (Russia) V.P. Il'in, Institute of Computational Mathematics and Mathematical Geophysics SB RAS (Russia) H. Kobayashi, Tohoku University (Japan) J. Kunkel, University of Hamburg (Germany) S. Kumar, Rudrapur (India) J. Labarta, Barcelona Supercomputing Center (Spain) A. Lastovetsky, University College Dublin (Ireland) T. Ludwig, German Climate Computing Center (Germany) V.N. Lykosov, Institute of Numerical Mathematics RAS (Russia) D. Mallmann, Julich Supercomputing Centre (Germany) M. Michalewicz, A*STAR Computational Resource Centre (Singapore) V.E. Malyshkin, Institute of Computational Mathematics and Mathematical Geophysics SB RAS (Russia) V.Ya. Modorsky, Perm Polytechnic University (Russia) R. Prodan, Alpen-Adria-Universität Klagenfurt (Austria) A.V. Shamakina, High Performance Computing Center in Stuttgart (Germany) P. Shumyatsky, University of Brasilia (Brazil) H. Sithole, Centre for High Performance Computing (Republic of South Africa) A.V. Starchenko, Tomsk State University (Russia) T. Sterling, Indiana University (USA) M. Taufer, University of Delaware (USA) V.E. Turlapov, State University of Nizhny Novgorod (Russia) R. Wyrzykowski, Czestochowa University of Technology (Poland) M.V. Yakobovsky, Institute for Mathematical Modelling RAS (Russia) Y. Yamazaki, Federal University of Pelotas (Brazil)

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Invitation to join Short Course 'Deep Learning and Computer Vision', 6-7th October 2021
by Ioanna Koroni 08 Sep '21

08 Sep '21

Dear Machine Learning and Deep Neural Networks engineers, scientists and enthusiasts, you are welcomed to register in the CVML Short e-course on 'Deep Learning and Computer Vision', 6-7th October 2021: http://icarus.csd.auth.gr/cvml-short-course-on-deep-learning-and-computer-vi sion-for-autonomous-systems-2021/ It will take place as a two-day e-course (due to COVID-19 circumstances), hosted by the Aristotle University of Thessaloniki (AUTH), Thessaloniki, Greece, providing a series of live lectures delivered through a tele-education platform (Zoom). They will be complemented with on-line video recorded lectures and lecture pdfs, to facilitate international participants having time difference issues and to enable you to study at own pace. You can also self-assess your knowledge, by filling appropriate questionnaires (one per lecture). You will be provided programming to improve your programming skills. You will also have accesses to tutorial exercises to better your theoretical understanding of selected CVML topics. This 6th edition of this course is part of the very successful CVML short course series that took place in the last four years. Course description 'Deep Learning and Computer Vision' The short e-course consists of 16 1-hour live lectures organized in two Parts (1 Part per day): Part A lectures (8 hours) provide an in-depth presentation to autonomous systems imaging and the relevant architectures as well as a solid background on the necessary topics of computer vision (Image acquisition, camera geometry, Stereo and Multiview imaging, Mapping and Localization) and machine learning (Introduction to neural networks, Perceptron, backpropagation, Deep neural networks, Convolutional NNs). Part B lectures (8 hours) provide in-depth views of the various topics encountered in autonomous systems perception, ranging from vehicle localization and mapping, to Neural SLAM, target detection and tracking. Part B also contains application-oriented lectures on autonomous drones, cars and marine vessels, e.g., drone mission planning for cinematography and related applications (marine surveillance, infrastructure/building inspection, car vision). Course lectures Part A: (first day, 8 lectures) 1. Introduction to autonomous systems imaging 2. <http://icarus.csd.auth.gr/digital-image-and-videos> Digital Image and Videos 3. <http://icarus.csd.auth.gr/camera-geometry/> Camera geometry 4. <http://icarus.csd.auth.gr/stereo-and-multiview-imaging-lecture> Stereo and Multiview imaging 5. <http://icarus.csd.auth.gr/artificial-neural-networks-perceptron-lecture> Introduction to Artificial Neural Networks. Perceptron 6. <http://icarus.csd.auth.gr/multilayer-perceptron-backpropagation-lecture> Multilayer perceptron. Backpropagation 7. Deep neural networks. <http://icarus.csd.auth.gr/convolutional-neural-networks-lecture> Convolutional NNs 8. Introduction to multiple drone imaging Part B: (second day, 8 lectures) 1. <http://icarus.csd.auth.gr/3d-robot-localization-and-mapping-lecture> Simultaneous Localization and Mapping 2. <http://icarus.csd.auth.gr/neural-slam-lecture/> Neural Slam 3. <http://icarus.csd.auth.gr/deep-object-detection-lecture> Deep Object Detection 4. 2D Visual Object Tracking 5. Drone mission planning and control 6. Introduction to car vision 7. Introduction to autonomous marine vehicles 8. CVML Software Development Tools You can use the following link for course registration: http://icarus.csd.auth.gr/cvml-short-course-on-deep-learning-and-computer-vi sion-for-autonomous-systems-2021/ Lecture topics, sample lecture ppts and videos, self-assessment questionnaires, programming exercises and tutorial exercises can be found therein. For questions, please contact: Ioanna Koroni <koroniioanna(a)csd.auth.gr <mailto:koroniioanna@csd.auth.gr> > The short course is organized by Prof. I. Pitas, IEEE and EURASIP fellow and IEEE distinguished speaker. He is the coordinator of the EC funded International AI Doctoral Academy (AIDA <http://www.i-aida.org/> ), that is co-sponsored by all 5 European AI R&D flagship projects (H2020 ICT48). He was initiator and first Chair of the IEEE SPS Autonomous Systems Initiative. He is Director of the Artificial Intelligence and Information analysis Lab (AIIA Lab), Aristotle University of Thessaloniki, Greece. He was Coordinator of the European Horizon2020 R&D project Multidrone. He is ranked 249-top Computer Science and Electronics scientist internationally by Guide2research (2018). He has 33800+ citations to his work and h-index 86+. AUTH is ranked 153/182 internationally in Computer Science/Engineering, respectively, in USNews ranking. Relevant links: 1) Prof. I. Pitas: https://scholar.google.gr/citations?user=lWmGADwAAAAJ <https://scholar.google.gr/citations?user=lWmGADwAAAAJ&hl=el> &hl=el 2) Horizon2020 EU funded R&D project Aerial-Core: https://aerial-core.eu/ 3) Horizon2020 EU funded R&D project Multidrone: https://multidrone.eu/ 4) International AI Doctoral Academy (AIDA): http://www.i-aida.org/ 5) Horizon2020 EU funded R&D project AI4Media: https://ai4media.eu/ 6) AIIA Lab: https://aiia.csd.auth.gr/ Sincerely yours Prof. I. Pitas Director of the Artificial Intelligence and Information analysis Lab (AIIA Lab) Aristotle University of Thessaloniki, Greece Post scriptum: To stay current on CVML matters, you may want to register in the CVML email list, following instructions in: https://lists.auth.gr/sympa/info/cvml <https://www.avast.com/sig-email?utm_medium=email&utm_source=link&utm_campai gn=sig-email&utm_content=emailclient&utm_term=icon> Virus-free. <https://www.avast.com/sig-email?utm_medium=email&utm_source=link&utm_campai gn=sig-email&utm_content=emailclient&utm_term=link> www.avast.com -- This email has been checked for viruses by Avast antivirus software. https://www.avast.com/antivirus

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Call for Papers - 3rd EduHiPC workshop in conjunction with HiPC-2021
by Sanmukh Kuppannagari 06 Sep '21

06 Sep '21

********************************************************************** We apologize if you received multiple copies of this email. Please feel free to distribute it to those who might be interested ********************************************************************** 3rd Workshop on Education for High Performance Computing (EduHiPC 2021) https://hipc.org/eduhipc/ in conjunction with the 28th INTERNATIONAL CONFERENCE ON HIGH PERFORMANCE COMPUTING, DATA, and ANALYTICS (HIPC 2021) December 17-18, 2021 | Virtual Event, INDIA | www.hipc.org OVERVIEW The 3rd EduHiPC (EduHiPC 2021) workshop invites unpublished manuscripts from academia, industry, and government laboratories on topics pertaining to needs and approaches for augmenting undergraduate and graduate education in Computer Science and Engineering, Computational Science, and computational courses for both STEM and business disciplines with PDC and HPC concepts. Additionally, we highly encourage manuscripts that validate their innovative approaches through the systematic collection and analysis of information to evaluate their performance and impact. The workshop is particularly dedicated to bringing together stakeholders from industry (both hardware vendors and employers), government labs, and academia in the context of HiPC 2021. The goal is to hear the challenges faced by others, to learn about various approaches to addressing these challenges, and to have opportunities to exchange ideas and solutions. We also encourage submissions related to the challenges in imparting education during this difficult pandemic situation. This effort is in coordination with the Center for Parallel and Distributed Computing Curriculum Development and Educational Resources (CDER). Topics of interest include, but are not limited to: - Pedagogical issues in incorporating PDC and HPC in undergraduate and graduate education, especially in core courses. - Novel ways of teaching PDC and HPC topics. - Issues and experiences addressing remote synchronous and asynchronous teaching of PDC/HPC during the current pandemic situation. - Data science and big data aspects of teaching HPC/PDC, including early experience with data science degree programs. - Evidence-based educational practices for teaching HPC/PDC topics that provide evidence about what works best under what circumstances. - Experience with incorporating PDC and HPC topics into core CS/CE courses and in domains. - Experience and challenges with HPC education in developing countries, especially in India, its vicinity, and Asia. - Computational Science and Engineering courses. - Pedagogical tools, programming environments, infrastructures, languages, and projects for PDC and HPC. - Employers’ experiences with new hires and expectation of the level of PDC and HPC proficiency among new graduates. - Education resources based on high-level programming languages and environments such as X10, Chapel, Haskell, Python, Cilk, CUDA, OpenCL, OpenACC, Hadoop, and Spark. - Parallel and distributed models of programming and computation suitable for teaching, learning, and workforce development. - Issues and experiences addressing the gender gap in computing and broadening participation of underrepresented groups. - Challenges in remote teaching, including those related to meaningful engagement of students and assessment. NOTICE ABOUT COVID-19 We are closely monitoring the COVID-19 situation globally and in India in particular. The decision whether to hold the conference on-site or virtually will be made before October 2021. Should the conference be held on-site, we understand that travel to India and within India may still be difficult or even impossible for some. Because travel from outside India will require an entry visa and that there may be travel restrictions still in place, we will arrange some form of remote presentation for those authors. We do not have changes to how accepted papers will be published in IEEE Xplore — every accepted paper will have at least one author who will register at the notified (reduced) registration fee and also present the paper at the conference (virtually/physically). SUBMISSION GUIDELINES Authors should submit papers in PDF format through the submission site (https://easychair.org/conferences/?conf=eduhipc21) We are accepting submissions for full papers (5-8 pages including figures, tables, and references). Submissions should be formatted as single-spaced, double-column pages (IEEE format). Authors must try to revise their papers to incorporate feedback from the reviewers. All accepted papers will be published in the HiPC Workshop Proceedings and will be included in the IEEE Xplore digital library. Accepted papers will be available from the CDER website approximately 2 weeks before the workshop so that attendees can read papers before attending the talks. Papers that are not accepted as full papers may be optionally accepted as short poster papers (2 pages). Authors of papers accepted as poster papers will be invited to revise their papers in a 2-page format. Authors of all accepted full and short papers must present at the workshop. Authors will be further invited to publish their work in a Journal of Parallel and Distributed Computing (JPDC) special issue, as in the past workshops. IMPORTANT DATES Abstract Submission Deadline: October 7, 2021 (encouraged) Paper Submission Deadline: October 12, 2021 (hard deadline) Paper Notification: November 5, 2021 Camera-ready Deadline: November 12, 2021 All deadlines are at 11:59 PM AOE (UTC-12). Organizing Committee Sushil Prasad, University of Texas, San Antonio, USA Sheikh Ghafoor, Tennessee Tech University, USA Alan Sussman, National Science Foundation & University of Maryland, USA Ramachandran Vaidyanathan, Louisiana State University, USA Anshul Gupta, IBM, USA Charles Weems, University of Massachusetts, USA Ashish Kuvelkar, CDAC, India Preeti Malakar, IIT Kanpur, India Workshop Co-Chairs Sushil K. Prasad, University of Texas San Antonio, USA, sushil.prasad(a)utsa.edu Sheikh Ghafoor, Tennessee Tech University, USA, sghafoor(a)tntech.edu Program Co-Chairs Ashish Kuvelkar, CDAC, India, ashishk(a)cdac.in Preeti Malakar, IIT Kanpur, India, pmalakar(a)cse.iitk.ac.in Proceedings Chair Satish Puri, Marquette University, USA Tentative Program Committee Ramachandran Vaidyanathan, Louisiana State University, USA Martina Barnas, Indiana University Bloomington, USA Nasser Giacaman, The University of Auckland, NZ Henry Gabb, Intel, USA Mike Rogers, Tennessee Tech University, USA Anshul Gupta, IBM Research, USA Ritu Arora, University of Texas, USA David Brown, Elmhurst University, USA Joel Adams, Calvin College, USA Charles Weems, University of Massachusetts, USA Alan Sussman, University of Maryland, USA David Bunde, Knox College, USA Chitra P., Thiagarajar College of Engineering, India Kazi A. Kalpoma, Ahsanullah University of Engineering and Technology, Bangladesh Devangi Parikh, University of Texas, USA Somnath Roy, IIT Kharagpur Unnikrishnan C, IIT Palakkad Swarnendu Biswas, IIT Kanpur Nikhil Hegde, IIT Dharwad Jagpreet Singh, IIIT Allahabad G. Ramakrishna, IIT Tirupati

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[Call for Nomination] - BenchCouncil Distinguished Doctoral Dissertation Award
by haotianshu＠ict.ac.cn 02 Sep '21

02 Sep '21

[Apologies if you receive multiple copies] CALL FOR NOMINATION ========================================================== 2021 BenchCouncil Distinguished Doctoral Dissertation Award (1000$) https://www.benchcouncil.org/html/awards.html#doctor Submission deadline: October 15, 2021 End of Day, Anywhere on Earth (AoE) Online Nomination Form: https://forms.gle/BSTqXUBTgB4gG3EM8 ========================================================== Introduction ---------------- International Open Benchmark Council (BenchCouncil) established the BenchCouncil Distinguished Doctoral Dissertation Award program to recognize and encourage superior research and writing by doctoral candidates in the broad field of benchmarks, data, standards, evaluations, and optimization. Prof. Jack Dongarra from the University of Tennessee, Prof. Xiaoyi Lu from the University of California, Merced, and Dr. Jeyan Thiyagalingam from STFC-RAL will co-lead the Award Committee. Among the submissions, four candidates will be selected as finalists. They will be invited to give a 30-minute presentation at the 2021 BenchCouncil International Symposium on Benchmarking, Measuring and Optimizing (Bench’21, virtual, Nov 14-16, 2021) and contribute research articles to BenchCouncil Transactions on Benchmarks, Standards and Evaluations. Finally, one among the four will receive the award, which carries a $1,000 honorarium. Eligibility ------------------------ The committee welcomes the proposals from the following communities (but not limited to): architecture, systems, database, high-performance computing, machine learning or AI, medicine, bioinformatics, or other scientific disciplines. An eligibility cycle opens October 1, 2019, and ends the following October 15, 2021. Nominations are welcomed from any country. -- Only those who were awarded Ph.D. in the past two years are eligible for this award. -- Only the accepted final version of a nominated Ph.D. dissertation will be considered, and it must have been filed with the writer’s institution during the nomination cycle. -- The writer or the writer’s Ph.D. advisor can nominate a dissertation, and a dissertation may be nominated only once. -- The benchmarks, data, or tools that are the essential contributions of the dissertation should be open-sourced. -- The committee members cannot nominate their students. -- Each dissertation version submitted for consideration must include an English abstract of 3,000 words maximum. Submissions ------------------------ Online Nomination Form: https://forms.gle/BSTqXUBTgB4gG3EM8 Nominations for the BenchCouncil Doctoral Dissertation Award should be submitted using the online nomination form. Submitted materials should explain the contribution in terms understandable to a non-specialist. Each nomination involves several components: -- Name, address, phone number, and email address of the candidate's thesis advisor -- Name, address, and email address of the candidate. Affiliation should be the name of the school. -- Suggested citation. The citation should be a concise statement (maximum of 25 words) describing the critical technical or professional accomplishment for which the candidate merits this award. Note that the final wording for awardees will be at the discretion of the Award Committee. -- Nomination statement (200-300 words in length) addressing why the candidate should receive this award. This should address the significance of the dissertation, not simply repeat the information in the abstract. -- A copy of the dissertation. Each submitted dissertation for consideration must include an English abstract of maximally 3000 words. -- Endorsement letters. At least two supporting letters should be included from experts in the field who can provide additional insights or evidence of the dissertation’s impact. (The nominator/advisor may not write a letter of support.) Each letter should include the name, address, and telephone number of the endorser. The nominator should collect the letters and bundle them for submission. The endorsement letter and supporting letters can be combined in one file in your pdf upload. Review Criteria ------------------------ Dissertations will be reviewed for technical depth and significance of the research contribution, the potential impact on theory and practice. In the first round, the four candidates will be singled out. Each one will give a 30-minute presentation in the distinguished Ph. D. dissertation session chaired by the committee, and contribute research articles to BenchCounncil Transactions on Benchmarks, Standards and Evaluation. Finally, one candidate will be awarded the BenchCouncil Distinguished Doctoral Dissertation Award carrying a $1,000 honorarium. The award is presented each year at the Awards Banquet during BenchCouncil Bench Conference ( https://www.benchcouncil.org/bench/ ). Award Committee Co-chairs --------------------- Prof. Jack Dongarra, University of Tennessee Dr. Xiaoyi Lu, The University of California, Merced Dr. Jeyan Thiyagalingam, STFC-RAL 2021 BenchCouncil International Symposium on Benchmarking, Measuring and Optimizing (Bench’21) ========================================================== Bench’21 Website: http://www.benchcouncil.org/bench21/index.html Conference date: Nov. 14th - Nov. 16th, 2021 (Virtual) ========================================================== Bench’21 conference invites manuscripts describing original work in the area of benchmarking, evaluation methods and tools in Big Data, Artificial Intelligence, High-Performance Computing and Architectures. All accepted papers will be presented at the Bench’21 conference and will be published in a special issue of the BenchCouncil Transactions on Benchmarks, Standards and Evaluation (TBench, https://www.benchcouncil.org/journal.html ). Sponsored and organized by the BenchCouncil, Bench’s multi-disciplinary emphasis provides an ideal environment for developers and researchers from the architecture, system, algorithm, and application communities to discuss practical and theoretical work covering workload characterization, benchmarks and tools, evaluation, measurement and optimization, and dataset generation. BenchCounncil Transactions on Benchmarks, Standards and Evaluations BenchCouncil Transactions on Benchmarks, Standards and Evaluations (TBench) is an open-access multi-disciplinary journal dedicated to benchmarks, standards, evaluations, optimizations, and data sets. It will take a hybrid publication mode with the Bench Conference. Both TBench and Bench use a double-blind review process. Papers that are accepted to present at the Bench conference will appear in the issue of TBench immediately following acceptance. Meanwhile, the accepted TBench papers will be encouraged but not mandatory to register and present at the Bench conference. TBench will be OA without any charge. It seeks a fast-track publication with an average turnaround time of two months. Submit your paper at https://www.editorialmanager.com/tbench/default.aspx TBench Editorial Board Co-EIC Prof. Dr. Jianfeng Zhan, ICT, Chinese Academy of Sciences and BenchCouncil Prof. Dr. Tony Hey, Rutherford Appleton Laboratory STFC, UK Advisory Board Prof. Jack Dongarra, University of Tennessee, USA Prof. Geoffrey Fox, Indiana University, USA Prof. D. K. Panda, The Ohio State University, USA

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Call for Papers - 13th HiPC Student Research Symposium (SRS)
by Sanmukh Kuppannagari 31 Aug '21

31 Aug '21

********************************************************************** We apologize if you received multiple copies of this email. Please feel free to distribute it to those who might be interested ********************************************************************** 13th HiPC Student Research Symposium (SRS) www.hipc.org/srs in conjunction with the 28th INTERNATIONAL CONFERENCE ON HIGH PERFORMANCE COMPUTING, DATA, and ANALYTICS (HIPC 2021) December 17-20, 2021 | Virtual Event, INDIA | www.hipc.org OVERVIEW HiPC 2021 will feature the 13th Student Research Symposium on High Performance Computing, Data, and Analytics (HPC) aimed at stimulating and fostering student research, and providing an international forum to highlight student research accomplishments. The symposium will also provide exposure to students in the best practices in HPC in academia and industry. The symposium will feature student posters and provide students with other enriching experiences, such as workshops, industry exhibits, and demos. The Conference Reception and multiple Student Symposium Poster Exhibit sessions will provide an opportunity for students to interact with HPC researchers and practitioners (and recruiters) from academia and industry. Awards for Best Poster, sponsored by IEEE Computer Society – Technical Committee on Parallel Processing (TCPP) – will be presented at the symposium. An online book containing the resumes of the students participating in the symposium will be compiled and made available to the sponsors of the HiPC 2021 conference. TOPICS Papers are solicited in all areas of high-performance computing, data, and analytics, including but not limited to topics mentioned below. High-Performance Computing Algorithms: This track invites papers that describe original research on developing new parallel and distributed computing algorithms, and related advances. Examples of topics that are of interest include (but not limited to): - New parallel and distributed algorithms and design techniques; - Advances in enhancing algorithmic properties or providing guarantees (e.g., fault tolerance, resilience, concurrency, data locality, communication-avoiding); - Classical and emerging computation models (e.g., parallel/distributed models, quantum computing, neuromorphic and other bioinspired models); - Provably efficient parallel and distributed algorithms for advanced scientific computing and irregular applications (e.g., numerical linear algebra, graph algorithms, computational biology); and - Algorithmic techniques for resource allocation and optimization (e.g., scheduling, load balancing, resource management). Architectures: This track invites papers that describe original research on the design and evaluation of high-performance computing architectures, and related advances. Examples of topics of interest include (but not limited to): - Design and evaluation of high-performance processing architectures (e.g., reconfigurable, system-on-chip, many cores, vector processors); - Design and evaluation of networks for high-performance computing platforms (e.g., interconnect topologies, network-on-chip); - Design and evaluation of memory, cache and storage architectures (e.g., 3D, photonic, Processing-In-Memory, NVRAM, burst buffers, parallel I/O); - Approaches to improve architectural properties (e.g., energy/power efficiency, reconfigurable, resilience/fault tolerance, security/privacy); and - Emerging computational architectures (e.g., quantum computing, neuromorphic and other bioinspired architectures). Applications: This track invites papers that describe original research on the design and implementation of scalable applications for execution on parallel and distributed platforms, and related advances. Examples of topics of interest include (but not limited to): - Design and implementation of shared and distributed memory parallel applications (e.g., scientific computing and industry applications, emerging applications in IoT and life sciences – biology, medicine, chemistry, etc.); - Design and simulation methodologies for scaling applications on peta and exascale platforms (e.g., co-design approaches, hardware/software co-design, heterogeneous and hybrid programming); - Hardware acceleration of parallel applications (e.g., CPU/GPUs, multi-GPU clusters, FPGA, vector processors, manycore); and - Design of application benchmarks for parallel and distributed platforms. Systems Software: This track invites papers that describe original research on the design, implementation, and evaluation of systems software for high-performance computing platforms, and related advances. Examples of topics of interest include (but not limited to): - Scalable systems and software architectures for high-performance computing (e.g., middleware, operating systems, I/O services); - Techniques to enhance parallel performance (e.g., compiler/runtime optimization, learning from application traces, profiling); - Techniques to enhance parallel application development and productivity (e.g., Domain-Specific Languages, programming environments, performance/correctness checking and debugging); - Techniques to deal with uncertainties, hardware/software resilience, and fault tolerance; - Software for the cloud, data center, and exascale platforms (e.g., middleware tools, schedulers, resource allocation, data migration, load balancing); and - Software and programming paradigms for heterogeneous platforms (e.g., libraries for CPU/GPU, multi-GPU clusters, and other accelerator platforms). Data Science Scalable Algorithms and Analytics: This track invites papers that describe original research on developing scalable algorithms for data analysis at scale, and related advances. Examples of topics of interest include (but not limited to): - New scalable algorithms for fundamental data analysis tasks (supervised, unsupervised learning, and pattern discovery); - Scalable algorithms that are designed to address the characteristics of different data sources and settings (e.g., graphs, social networks, sequences, data streams); - Scalable algorithms and techniques to reduce the complexity of large-scale data (e.g., streaming, sublinear data structures, summarization, compressive analytics); - Scalable algorithms that are designed to address requirements in different data-driven application domains (e.g., life sciences, business, agriculture); and - Scalable algorithms that ensure the transparency and fairness of the analysis. Scalable Systems and Software: This track invites papers that describe original research on developing scalable systems and software for handling data at scale, and related advances. Examples of topics of interest include (but not limited to): - Design of scalable system software to support various applications (e.g., recommendation systems, web search, crowdsourcing applications, streaming applications); - Design of scalable system software for various architectures (e.g., OpenPower, GPUs, FPGAs); - Architectures and systems software to support various operations in large data frameworks (e.g., storage, retrieval, automated workflows, data organization, visualization, visual analytics, human-in-the-loop); - Design and implementation of systems software for distributed data frameworks (e.g., distributed file system, virtualization, cloud services, resource optimization, scheduling); and - Standards and protocols for enhancing various aspects of data analytics (e.g., open data standards, privacy-preserving, and secure schemes). IMPORTANT DATES Aug 19, 2021 > Submission Opens Sep 17, 2021 > Submission Deadline Nov 1, 2021 > Accept/Reject Decision Notification Dec 17-20, 2021 > Symposium ELIGIBILITY Submissions should have at least one author who is a student during any part of the calendar year 2021. Submissions may have multiple student or non-student co-authors. Submissions must mark student authors with an asterisk (*). SUBMISSION INSTRUCTIONS In order to be considered for a poster at the Student Research Symposium, authors must submit papers/extended abstracts, not exceeding five (5) letter size (8.5in x 11in) pages, in 11 or 12 point font, single-spaced, with 1'' margins on all sides. Papers are to be submitted online in PDF format through Easychair at: https://easychair.org/conferences/?conf=hipc2021 The papers will be used to select posters, but will NOT be published in the conference proceedings. This will provide students the flexibility to publish an extended version of their paper at other venues, after benefiting from reviewer feedback from the symposium. Papers submitted to the symposium are expected to be reviewed by at least three independent reviewers. Papers will be judged on technical merit, quality, relevance to the symposium, and related parameters. Plagiarism, in any form, especially verbatim reproduction from other published works, is prohibited. Papers that are plagiarized will be rejected, and the corresponding department and institution will be notified. Facilities for displaying posters will be made available, and the exact specifications of the poster size will be provided later. At least one student author of each paper that is accepted must register and attend the conference to present their work. Papers with no-shows will be retroactively rejected. SYMPOSIUM CO-CHAIRS Ashok Srinivasan, University of West Florida, USA Dip Sankar Banerjee, IIT Jodhpur, India CONTACT Contact student_symposium at hipc dot org for more details.

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Call for Participation - International Conference on Logic Programming (ICLP 2021)
by Miguel Areias 30 Aug '21

30 Aug '21

========================================================================= CALL FOR PARTICIPATION ========================================================================= The 37th International Conference on Logic Programming (ICLP 2021) https://iclp2021.dcc.fc.up.pt/ ========================================================================= The virtual edition of ICLP 2021 will run from September 20 until September 27, 2021. The conference will be held online and we strongly encourage all interested people to register to access the event and interact with other participants. The registration conditions are available at https://iclp2021.dcc.fc.up.pt/index.html#registration The main program is available at https://iclp2021.dcc.fc.up.pt/index-program.html This year's edition includes five outstanding talks by William Cohen (Google AI), John Hooker (CMU), Phokion Kolaitis (UC Santa Cruz and IBM Almaden), Stuart Russell (UC Berkeley) and Jeff Ullman (Stanford University) https://iclp2021.dcc.fc.up.pt/index.html#keynotes and eight affiliated events https://iclp2021.dcc.fc.up.pt/index.html#affiliatedevents Looking forward to meet you in the ICLP 2021 virtual conference. Miguel Areias (on behalf of ICLP 2021 Chairs). ========================================================================= Any additional question can be directed towards ICLP 2021 Chairs: iclp2021(a)easychair.org =========================================================================

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Deadline Extension ScalA@SC: 12th Workshop on Latest Advances in Scalable Algorithms for Large-Scale Systems - Papers due September 19
by Engelmann, Christian 28 Aug '21

28 Aug '21

We apologize if you receive multiple copies of this notice. ----------------------------------------------------------------------------- ScalA21: 12th Workshop on Latest Advances in Scalable Algorithms for Large-Scale Systems held in conjunction with the SC21: The International Conference on High Performance Computing, Networking, Storage and Analysis in cooperation with the IEEE Computer Society Technical Consortium on High Performance Computing (TCHPC) November 19, 2021, St. Louis, MO, USA <http://www.csm.ornl.gov/srt/conferences/Scala/2021> Novel scalable scientific algorithms are needed in order to enable key science applications to exploit the computational power of large-scale systems. This is especially true for the current tier of leading petascale machines and the road to exascale computing as HPC systems continue to scale up in compute node and processor core count. These extreme-scale systems require novel scientific algorithms to hide network and memory latency, have very high computation/communication overlap, have minimal communication, and have no synchronization points. With the advent of Big Data and AI in the past few years the need of such scalable mathematical methods and algorithms able to handle data and compute intensive applications at scale becomes even more important. Scientific algorithms for multi-petaflop and exa-flop systems also need to be fault tolerant and fault resilient, since the probability of faults increases with scale. Resilience at the system software and at the algorithmic level is needed as a crosscutting effort. Finally, with the advent of heterogeneous compute nodes that employ standard processors as well as GPGPUs, scientific algorithms need to match these architectures to extract the most performance. This includes different system-specific levels of parallelism as well as co-scheduling of computation. Key science applications require novel mathematical models and system software that address the scalability and resilience challenges of current- and future-generation extreme-scale HPC systems. Submission Guidelines --------------------- Authors are invited to submit manuscripts in English structured as technical papers at a length of at least 6 letter size (8.5in x 11in) pages and not exceeding 8 pages, including figures, tables, and references using the IEEE format for conference proceedings. Reference style files are available at <http://www.ieee.org/conferences_events/conferences/publishing/templates.html>. Submitted papers must represent original unpublished research that is not currently under review for any other conference or journal. Papers not following these guidelines will be rejected without review and further action may be taken, including (but not limited to) notifications sent to the heads of the institutions of the authors and sponsors of the conference. Submissions received after the due date, exceeding length limit, or not appropriately structured may also not be considered. Papers should be submitted electronically at <https://submissions.supercomputing.org>. All manuscripts will be peer-reviewed and judged on correctness, originality, technical strength, and significance, quality of presentation, and interest and relevance to the workshop attendees. Accepted papers will be published with the IEEE Computer Society as part of the SC21 workshop proceedings in the IEEE Xplore Digital Library. At least one author of an accepted paper must register for and present the paper at the workshop. Authors may contact the workshop program chair, Christian Engelmann at engelmannc(a)ornl.gov<mailto:engelmannc@ornl.gov>, for more information. Transparency and Reproducibility Initiative ------------------------------------------- As part of a major initiative that aims to increase the level of reproducibility and replicability of results, ScalA20 invites authors of technical papers to submit optional appendix information that can promote better reproducibility of computational results. Authors are highly encouraged to provide a 2-page Artifact Description Appendix, which will not count toward the page limit of the submission. Notes: - A paper cannot be disqualified based on information provided or not provided in this appendix, nor if the appendix is not available. - The availability and quality of an appendix can be used in ranking a paper. In particular, if two papers are of similar quality, the existence and quality of the appendices can be part of the evaluation process. - Appendices should not be used to circumvent the page limit. Further information about the SC Transparency and Reproducibility Initiative can be found at <https://sc21.supercomputing.org/submit/transparency-reproducibility-initiat…>. Important Web Sites ------------------- - ScalA21 Website: <https://www.csm.ornl.gov/srt/conferences/Scala/2021> - ScalA21 Submissions: <https://submissions.supercomputing.org> - SC21 website: <http://sc21.supercomputing.org/> Important Dates --------------- - Full paper submission: September 19, 2021 - Notification of acceptance: October 1, 2021 - IEEE e-Copyright submission (firm): October 7, 2021 - Final paper submission (firm): October 11, 2021 - Workshop/conference early registration: October 15, 2021 - Workshop: 8:30am - 12pm CST, November 19, 2021 Topics of interest include, but are not limited to: --------------------------------------------------- - Novel scientific algorithms that improve performance, scalability, resilience, and power efficiency - Porting scientific algorithms and applications to many-core and heterogeneous architectures - Performance and resilience limitations of scientific algorithms and applications at scale, including Data Science approaches in dealing with Big Data - Crosscutting approaches (system software and applications) in addressing scalability challenges - Scientific algorithms that can exploit extreme concurrency (e.g. 1 billion for exascale by 2023) - Naturally fault tolerant, self-healing, or fault oblivious scientific algorithms - Programming model and system software support for algorithm scalability and resilience (including ones enabling Big Data processing) Workshop Chairs --------------- - Vassil Alexandrov, Hartree Centre, Science and Technology Facilities Council, UK - Al Geist, Oak Ridge National Laboratory, USA - Jack Dongarra, University of Tennessee, Knoxville, USA Workshop Program Chair ---------------------- - Christian Engelmann, Oak Ridge National Laboratory, USA Contact at engelmannc(a)ornl.gov<mailto:engelmannc@ornl.gov> Program Committee ----------------- - Hartwig Anzt, University of Tennessee, Knoxville, USA - Rick Archibald, Oak Ridge National Laboratory, USA - Marco Berghoff, Karlsruhe Institute of Technology, Germany - Hans-Joachim Bungartz, Technical University of Munich, Germany - Florina M. Ciorba, University of Basel, Switzerland - James Elliott, Sandia National Laboratories, USA - Nahid Emad, University of Versailles SQ, France - Wilfried Gansterer, University of Vienna, Austria - Yasuhiro Idomura, Japan Atomic Energy Agency, Japan - Kirk E. Jordan, IBM T.J. Watson Research, USA - Dieter Kranzlmueller, Ludwig-Maximilians-University Munich, Germany - Sriram Krishnamoorthy, Pacific Northwest National Laboratory, USA - Paul Lin, Lawrence Berkeley National Laboratory, USA - Kengo Nakajima, RIKEN, Japan - Yves Robert, ENS Lyon, France - Stuart Slattery, Oak Ridge National Laboratory, USA - Valerie Taylor, Argonne National Laboratory, USA - Keita Teranishi, Sandia National Laboratories, USA -- Christian Engelmann, Ph.D. Senior Scientist & Group Leader Intelligent Systems and Facilities Group Advanced Computing Systems Research Section Computer Science and Mathematics Division Oak Ridge National Laboratory Mail: P.O. Box 2008, Oak Ridge, TN 37831-6173, USA Phone: +1 (865) 574-3132 / Fax: +1 (865) 576-5491 e-Mail: engelmannc(a)ornl.gov<mailto:engelmannc@ornl.gov> / Home: www.christian-engelmann.info

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HiPar21@SC21: Call For Participation - Submit by August 30th!
by Francesco Rizzi 24 Aug '21

24 Aug '21

``` *************************************************************************** CALL FOR PARTICIPATION 2nd Workshop on Hierarchical Parallelism for Exascale Computing ---HiPar21--- Sunday, Nov. 14th Held in conjunction with SC21, Nov. 14-19 2021, St. Louis, USA In cooperation with: IEEE and TCHPC. www.hipar.net *************************************************************************** ================================ Summary ================================ High Performance Computing (HPC) platforms are evolving towards having fewer but more powerful nodes, driven by the increasing number of physical cores in multiple sockets and accelerators. The boundary between nodes and networks is starting to blur, with some nodes now containing tens of compute elements and memory sub-systems connected via a memory fabric. The immediate consequence is an increase in complexity due to ever more complex architectures (e.g., memory hierarchies), novel accelerator designs, and energy constraints. Spurred largely by this trend, hierarchical parallelism is gaining momentum. This approach embraces, rather than avoiding, the intrinsic complexity of current and future HPC systems by exploiting parallelism at all levels: compute, memory and network. This workshop focuses on hierarchical parallelism. It aims to bring together application, hardware, and software practitioners proposing new strategies to fully exploit computational hierarchies, and examples to illustrate their benefits to achieve extreme scale parallelism. ================================ Scope and Aims ================================ HiPar21 welcomes HPC practitioners from all areas, ranging from hardware and compiler experts to algorithms and software developers, to present and discuss new studies, approaches, and cutting-edge ideas to utilize multi-level parallelism for extreme scale computing. We welcome contributions from the HPC community addressing the use of emerging architectures, focusing particularly on those characterized by fewer but more powerful nodes as well as systems with hierarchical network with tiered communication semantics. Specifically, the emphasis is on the design, implementation, and application of programming models for multi-level parallelism, including abstractions for hierarchical memory access, heterogeneity, multi-threading, vectorization, and energy efficiency, as well as scalability and performance studies thereof. Of particular interest are models addressing these concerns portably: providing ease of programming and maintaining performance in the presence of varied accelerators, hardware configurations, and execution models. Studies that explore the merits of specific approaches to addressing these concerns, such as generic programming or domain specific languages, are also in scope. The workshop is not limited to the traditional HPC software community. As one example, another key topic is the use of hierarchical parallelism in dealing with the challenges arising in machine learning due to the growing importance of this field, the large scale of systems tackled in that area, and the increasing interest from more traditional HPC areas. Finally, we remark that a key goal of HiPar21 is to highlight not just success stories. We welcome contributions that provide compelling results and discussions on the hardest challenges to overcome leading to exascale, the role hierarchical parallelism can play in them, as well as relevant drawbacks. ================================ Topics ================================ Submissions are encouraged in, but not limited to the following areas: * Hardware, software, and algorithmic advances for efficient use of memory hierarchies, multi-threading and vectorization; * Efficient use of nested parallelism, for example CUDA dynamic parallelism, for large scale simulations; * Hierarchical work scheduling and execution; * Programming heterogeneous nodes; * Leading-edge programming models, for example fully distributed task-based models and hybrid MPI+X, with X representing shared memory parallelism via threads, vectorization, tasking or parallel loop constructs. * Implementations of algorithms that are natural fits for nested work (for example approaches that use recursion); * Challenges and successes in managing computing hierarchies; * Examples demonstrating effective use of the combination of inter-node and intra-node parallelism; * Novel approaches leveraging asynchronous execution to maximize efficiency; * Challenges and successes of porting of existing applications to many-core and heterogeneous platforms; * Recent developments in compiler optimizations for emerging architectures; * Applications of hierarchical programming models from emerging AI fields, for example deep learning and extreme-scale data analytics. ================================ Papers Submission Guidelines ================================ We solicit papers submissions in the following categories: (a) Regular research papers: Intended for submissions describing original work and ideas that have NOT appeared in another conference or journal, and are NOT currently under review for any other conference or journal. Regular papers must be at least (6) and must not exceed (10) letter size pages (U.S. letter – 8.5"x11"). Accepted regular papers will be published in the workshop proceedings in cooperation with IEEE TCHPC. (b) Short papers: Intended for material that is not mature enough for a full paper, to present novel, interesting ideas or preliminary results that will be formally submitted elsewhere. Short papers must not exceed four (4) pages. Short papers will NOT be included in the proceedings. Please note that: - The page limits above only apply to the core text, content-related appendices, and figures. References and reproducibility appendix do not count against the page limit. - When deciding between submissions with comparable evaluations, priority will be given to those with higher quality of presentation and whose focus relates more directly to the workshop themes. - Papers and must be submitted electronically at https://submissions.supercomputing.org/ and must follow the IEEE format: www.ieee.org/conferences/publishing/templates.html ==================================================== !!New concept!!: Algorithm Brainstorming Session ==================================================== Are you working on code/algorithms and would like to see if and how it can benefit from a hierarchical approach? Or exploring state-of-the-art hierarchical approaches and leading edge programming models and desire feedback about how to approach such problems in practice? This new idea we are proposing might be of interest to you! We invite practitioners at all levels (especially encouraging participation from junior scholars) to submit a one-page summary describing an algorithm of their interest that is NOT already exploiting hierarchical parallelism and they would like to improve/change. We will select a subset of these submissions and, on the workshop day, we will host parallel breakout sessions moderated by experts in the field, to guide the brainstorming discussions on if/how one can exploit hierarchical parallelism to improve them. The submission must be 1 page and should address (at a high-level) these sections: motivation/application, core algorithm, desired scale of execution, and current bottlenecks (if any). The single page limit only applies to the core text: figures, references, and appendices do not count against the page limit. Please note that: - We will prioritize submissions by junior people. We believe this would be most beneficial as a way of allowing more experienced engineers and researchers to share their experience and approaches to solving this sort of problem. - We expect each submission to present code/algorithms that are relevant to the person/group submitting it. For example, if you are a researcher working on CFD, we expect your submission to be related to *your* code and computational issues, not on a different group's or commercial code. - We envision holding two or three parallel sessions. Each session will be approximately 45/60 mins: 10/15 mins for the author to present the algorithm and motivation, followed by the discussion until the time ends. However, we reserve to expand the number of sessions if we receive a substantial number of submissions/interest. ================================ Reproducibility Initiative ================================ HiPar21 follows the SC21 reproducibility and transparency initiative. The SC21 details can be found at: https://sc21.supercomputing.org/submit/reproducibility-initiative. HiPar21 requires all submission to include an Artifact Description (AD) Appendix. Note that the AD will be auto-generated from the author's responses to a form embedded in the online submission system. The Artifact Evaluation (AE) remains optional. We also encourage authors to follow the transparency initiative for two reasons: (a) it helps the authors themselves with the actual writing and structuring of the paper to express the research process; (b) it helps reviewers and readers to understand the thinking process used by the authors to plan, obtain and explain their results. ================================ Important dates ================================ Submission Deadline: August 30th, 2021 (AoE) Author Notification: September 13, 2021 Camera Ready: October 4, 2021 Final Program: October 9, 2021 Workshop Date: Sunday, Nov. 14th Note that SC21 is currently planning to host the conference in person, but to also include a virtual platform to support remote attendance and to enhance the in-person activities. However, at this time the virtual platform support is still unknown, and we want to explicitly state that there is always the possibility of SC21 becoming fully virtual. Therefore, please refer to the our workshop and SC21 websites for the latest information. ================================ Chairs and Committees ================================ Workshop chair: - Francesco Rizzi NexGen Analytics Organizing Committee: - Daisy Hollman Google - Lee Howes Facebook - Xiaoye Sherry Li Lawrence Berkeley National Lab Program Committee Chairs: - Christian Trott Sandia National Labs - Filippo Spiga NVIDIA Program Committee: - Mark Bull EPCC - Irina Demeshko LANL - Marta Garcia Gasulla BSC - Anja Gerbes TU Dresden - Mark Hoemmen Stellar Science - Toshiyuki Imamura RIKEN - Guido Juckeland Helmholtz Center - Hartmut Kaiser LSU - Vivek Kale Brookhaven Labs - Jonathan Lifflander Sandia National Labs - James Lin Shanghai J.Tong Univ. - Nicholas Malaya AMD - Aram Markosyan Xilinx - Rui Oliveira INESC TEC - Philippe Pebay NexGen Analytics - Zhiqi Tao Intel - Flavio Vella Univ. of Bozen - Michèle Weiland EPCC - Jeremiah Wilke Google ================================ Contact information: ================================ For questions, please email us at: hiparws(a)gmail.com ```

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Call for Submissions: WHPC workshop at SC'21-- in person and virtual participation
by Mariam Umar 19 Aug '21

19 Aug '21

SC21: WHPC Workshop - Call for lightning talks Call for lightning talks: DEADLINE FOR SUBMISSIONS: September 8th, 2021 AOE **Women in HPC at SC21: Diversifying the HPC Community and Engaging Male Allies** Sunday, 14th November, 9AM – 5:30PM CST Call for Participation The 12th annual international Women in HPC workshop will be held in conjunction with the Supercomputing conference (SC21), at St. Louis, MO, USA. Once again Women in HPC, our advocates, allies, supporters, and anyone interested in improving diversity across the HPC community is welcome to join us to discuss the challenges the community faces. Activities will bring together women and male allies from across the international HPC and extended community, provide opportunities to network, showcase the work of inspiring women, and discuss how we can all work towards improving the under-representation of women in supercomputing. Previous Women in HPC workshops at SC have been great successes, with over 150 attendees in the past year, and many submissions from early/mid-career women in the past two years. As part of the workshop, we invite submissions from women to present their research in the HPC, AI, ML domain to the HPC community as a short/lightning talk. This is a great opportunity to interact with leading experts and employers across the HPC community from both academia and industry and discuss your work with them. We encourage women who are in their ‘early career’ (i.e. pursuing a graduate degree or within five years of graduation) to participate, however this opportunity is open to help everyone who feels they may benefit from presenting their work, irrespective of career stage. Each submission will be reviewed by a committee and authors shall receive 2-4 sets of review comments as feedback along with instructions needed to prepare for the talk and associate materials prior to the workshop. Submissions for the talks are comprised of a two-page submission with preliminary results, in any areas including but not limited to: - High performance computing - Data science - Machine learning/AI - Big data - Languages and runtimes - Algorithms Authors will be expected to give a short lightning talk (5 minutes) at the workshop. Benefit of Participating: - Networking: build your HPC network, meet peers and potential employers - Advice and mentoring: Receive expert advice and mentorship to help prepare for your presentation, including slides, how to structure a lightning talk for effective communication and how to make the most of the networking time afterwards. Submission All submitted abstracts should emphasize the computational aspects of the work, such as the facilities used, the challenges that HPC, ML/AI can help address and any additional research highlights etc. As an author you will have the opportunity to share your work with the workshop audience in a brief ‘elevator pitch’ talk. Depending on whether the SC workshops are held in person or in a hybrid capacity this year, if accepted, those participants attending in person will have the opportunity to present a short 5-6 minute talk. Those participants attending the workshop virtually will be asked to submit a 5-6 minute video presentation ahead of time, which will be shown during the lightning talk session. Detailed instructions on how to prepare the video will be provided at a later time. To submit your extended abstract (2 page) please prepare the following and submit via the SC21 Linklings submission site <http://submissions.supercomputing.org/> – make sure your choose ‘SC21 Workshop: Women in HPC’: 1. Author/presenter information (For all authors): 1. first and last name 2. Current institution(s) 3. short biography (max 300 words) 4. company/institution 5. photograph for website publicity. 2. Lightning talk information - Title - Two-page submission with extended abstract (up to 500 words) and preliminary results Please use the standard fonts/formatting in the ACM conference proceedings template (https://www.acm.org/publications/proceedings-template) Submissions should be a maximum of two (2) pages, not including references. Important Dates - Submission Deadline: September 8th, 2021 - Notification of acceptance: October 1st, 2021 - Camera Ready: October 7th, 2021 If you have questions please contact Mariam Umar mariam.umar(a)intel.com, or Rey Wang ruinwang(a)amazon.com. -Mariam

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Invitation to join 2021 Summer 'Programming short course and workshop on Deep Learning and Computer Vision', 25-27th August 2021
by Ioanna Koroni 19 Aug '21

19 Aug '21

Dear Machine Learning and Deep Neural Networks engineers, scientists and enthusiasts, you are welcomed to register in the CVML e-course on 'Programming short course and workshop on Deep Learning and Computer Vision', 25-27th August 2021: http://icarus.csd.auth.gr/cvml-programming-short-course-and-workshop-on-deep -learning-and-computer-vision-for-autonomous-systems-2021/ It will take place as a three-day e-course (due to COVID-19 circumstances), hosted by the Aristotle University of Thessaloniki (AUTH), Thessaloniki, Greece, providing a series of live lectures and workshops delivered through a tele-education platform (Zoom). They will be complemented with on-line video recorded lectures and lecture pdfs, to facilitate international participants having time difference issues and to enable you to study at own pace. You can also self-assess your knowledge, by filling appropriate questionnaires (one per lecture). You will be provided programming to improve your programming skills. You will also have accesses to tutorial exercises to better your theoretical understanding of selected CVML topics. This course is part of the very successful CVML programming short course and workshop series that took place in the last four years. Course description 'Programming short course and workshop on Deep Learning and Computer Vision' The programming short course and workshop e-course consists of 16 1-hour live lectures & workshops organized in two Parts (1 Part per day): Part A will focus on Deep Learning and GPU programming. Part B lectures will focus on deep learning algorithms for computer vision, namely on 2D object/face detection and 2D object tracking. Part C lectures will focus on autonomous UAV cinematography. Before mission execution, it is best simulated, using drone mission simulation tools. Course lectures Part A (8 hours), Deep Learning and GPU programming Deep neural networks. Convolutional NNs. Deep learning for target detection. Image classification with CNNs. Target detection with PyTorch. Part B (8 hours), Deep Learning for Computer Vision Deep learning for object/face detection. 2D object tracking. PyTorch: Understand the core functionalities of an object detector. Training and deployment. OpenCV programming for object tracking. Part C (8 hours), Autonomous UAV cinematography Video summarization. UAV cinematography. Video summarization with Pytorch. Drone cinematography with Airsim. You can use the following link for course registration: http://icarus.csd.auth.gr/cvml-programming-short-course-and-workshop-on-deep -learning-and-computer-vision-for-autonomous-systems-2021/ Lecture topics, sample lecture ppts and videos, self-assessment questionnaires, programming exercises and tutorial exercises can be found therein. For questions, please contact: Ioanna Koroni <koroniioanna(a)csd.auth.gr <mailto:koroniioanna@csd.auth.gr> > The short course is organized by Prof. I. Pitas, IEEE and EURASIP fellow and IEEE distinguished speaker. He is the coordinator of the EC funded International AI Doctoral Academy (AIDA <http://www.i-aida.org/> ), that is co-sponsored by all 5 European AI R&D flagship projects (H2020 ICT48). He was initiator and first Chair of the IEEE SPS Autonomous Systems Initiative. He is Director of the Artificial Intelligence and Information analysis Lab (AIIA Lab), Aristotle University of Thessaloniki, Greece. He was Coordinator of the European Horizon2020 R&D project Multidrone. He is ranked 249-top Computer Science and Electronics scientist internationally by Guide2research (2018). He has 33800+ citations to his work and h-index 86+. AUTH is ranked 153/182 internationally in Computer Science/Engineering, respectively, in USNews ranking. Relevant links: 1) Prof. I. Pitas: https://scholar.google.gr/citations?user=lWmGADwAAAAJ <https://scholar.google.gr/citations?user=lWmGADwAAAAJ&hl=el> &hl=el 2) Horizon2020 EU funded R&D project Aerial-Core: https://aerial-core.eu/ 3) Horizon2020 EU funded R&D project Multidrone: https://multidrone.eu/ 4) International AI Doctoral Academy (AIDA): http://www.i-aida.org/ 5) Horizon2020 EU funded R&D project AI4Media: https://ai4media.eu/ 6) AIIA Lab: https://aiia.csd.auth.gr/ Sincerely yours Prof. I. Pitas Director of the Artificial Intelligence and Information analysis Lab (AIIA Lab) Aristotle University of Thessaloniki, Greece Post scriptum: To stay current on CVML matters, you may want to register in the CVML email list, following instructions in: https://lists.auth.gr/sympa/info/cvml <https://www.avast.com/sig-email?utm_medium=email&utm_source=link&utm_campai gn=sig-email&utm_content=emailclient&utm_term=icon> Virus-free. <https://www.avast.com/sig-email?utm_medium=email&utm_source=link&utm_campai gn=sig-email&utm_content=emailclient&utm_term=link> www.avast.com -- This email has been checked for viruses by Avast antivirus software. https://www.avast.com/antivirus

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ScalA@SC: 12th Workshop on Latest Advances in Scalable Algorithms for Large-Scale Systems - Papers due August 27
by Engelmann, Christian 16 Aug '21

16 Aug '21

We apologize if you receive multiple copies of this notice. ----------------------------------------------------------------------------- ScalA21: 12th Workshop on Latest Advances in Scalable Algorithms for Large-Scale Systems held in conjunction with the SC21: The International Conference on High Performance Computing, Networking, Storage and Analysis in cooperation with the IEEE Computer Society Technical Consortium on High Performance Computing (TCHPC) November 19, 2021, St. Louis, MO, USA <http://www.csm.ornl.gov/srt/conferences/Scala/2021> Novel scalable scientific algorithms are needed in order to enable key science applications to exploit the computational power of large-scale systems. This is especially true for the current tier of leading petascale machines and the road to exascale computing as HPC systems continue to scale up in compute node and processor core count. These extreme-scale systems require novel scientific algorithms to hide network and memory latency, have very high computation/communication overlap, have minimal communication, and have no synchronization points. With the advent of Big Data and AI in the past few years the need of such scalable mathematical methods and algorithms able to handle data and compute intensive applications at scale becomes even more important. Scientific algorithms for multi-petaflop and exa-flop systems also need to be fault tolerant and fault resilient, since the probability of faults increases with scale. Resilience at the system software and at the algorithmic level is needed as a crosscutting effort. Finally, with the advent of heterogeneous compute nodes that employ standard processors as well as GPGPUs, scientific algorithms need to match these architectures to extract the most performance. This includes different system-specific levels of parallelism as well as co-scheduling of computation. Key science applications require novel mathematical models and system software that address the scalability and resilience challenges of current- and future-generation extreme-scale HPC systems. Submission Guidelines --------------------- Authors are invited to submit manuscripts in English structured as technical papers at a length of at least 6 letter size (8.5in x 11in) pages and not exceeding 8 pages, including figures, tables, and references using the IEEE format for conference proceedings. Reference style files are available at <http://www.ieee.org/conferences_events/conferences/publishing/templates.html>. Submitted papers must represent original unpublished research that is not currently under review for any other conference or journal. Papers not following these guidelines will be rejected without review and further action may be taken, including (but not limited to) notifications sent to the heads of the institutions of the authors and sponsors of the conference. Submissions received after the due date, exceeding length limit, or not appropriately structured may also not be considered. Papers should be submitted electronically at <https://submissions.supercomputing.org>. All manuscripts will be peer-reviewed and judged on correctness, originality, technical strength, and significance, quality of presentation, and interest and relevance to the workshop attendees. Accepted papers will be published with the IEEE Computer Society as part of the SC21 workshop proceedings in the IEEE Xplore Digital Library. At least one author of an accepted paper must register for and present the paper at the workshop. Authors may contact the workshop program chair, Christian Engelmann at engelmannc(a)ornl.gov<mailto:engelmannc@ornl.gov>, for more information. Transparency and Reproducibility Initiative ------------------------------------------- As part of a major initiative that aims to increase the level of reproducibility and replicability of results, ScalA20 invites authors of technical papers to submit optional appendix information that can promote better reproducibility of computational results. Authors are highly encouraged to provide a 2-page Artifact Description Appendix, which will not count toward the page limit of the submission. Notes: - A paper cannot be disqualified based on information provided or not provided in this appendix, nor if the appendix is not available. - The availability and quality of an appendix can be used in ranking a paper. In particular, if two papers are of similar quality, the existence and quality of the appendices can be part of the evaluation process. - Appendices should not be used to circumvent the page limit. Further information about the SC Transparency and Reproducibility Initiative can be found at <https://sc21.supercomputing.org/submit/transparency-reproducibility-initiat…>. Important Web Sites ------------------- - ScalA21 Website: <https://www.csm.ornl.gov/srt/conferences/Scala/2021> - ScalA21 Submissions: <https://submissions.supercomputing.org> - SC21 website: <http://sc21.supercomputing.org/> Important Dates --------------- - Full paper submission: August 27, 2021 - Notification of acceptance: September 27, 2021 - IEEE e-Copyright submission (firm): October 7, 2021 - Final paper submission (firm): October 11, 2021 - Workshop/conference early registration: October 15, 2021 - Workshop: 8:30am - 12pm CST, November 19, 2021 Topics of interest include, but are not limited to: --------------------------------------------------- - Novel scientific algorithms that improve performance, scalability, resilience, and power efficiency - Porting scientific algorithms and applications to many-core and heterogeneous architectures - Performance and resilience limitations of scientific algorithms and applications at scale, including Data Science approaches in dealing with Big Data - Crosscutting approaches (system software and applications) in addressing scalability challenges - Scientific algorithms that can exploit extreme concurrency (e.g. 1 billion for exascale by 2023) - Naturally fault tolerant, self-healing, or fault oblivious scientific algorithms - Programming model and system software support for algorithm scalability and resilience (including ones enabling Big Data processing) Workshop Chairs --------------- - Vassil Alexandrov, Hartree Centre, Science and Technology Facilities Council, UK - Al Geist, Oak Ridge National Laboratory, USA - Jack Dongarra, University of Tennessee, Knoxville, USA Workshop Program Chair ---------------------- - Christian Engelmann, Oak Ridge National Laboratory, USA Contact at engelmannc(a)ornl.gov<mailto:engelmannc@ornl.gov> Program Committee ----------------- - Hartwig Anzt, University of Tennessee, Knoxville, USA - Rick Archibald, Oak Ridge National Laboratory, USA - Marco Berghoff, Karlsruhe Institute of Technology, Germany - Hans-Joachim Bungartz, Technical University of Munich, Germany - Florina M. Ciorba, University of Basel, Switzerland - James Elliott, Sandia National Laboratories, USA - Nahid Emad, University of Versailles SQ, France - Wilfried Gansterer, University of Vienna, Austria - Yasuhiro Idomura, Japan Atomic Energy Agency, Japan - Kirk E. Jordan, IBM T.J. Watson Research, USA - Dieter Kranzlmueller, Ludwig-Maximilians-University Munich, Germany - Sriram Krishnamoorthy, Pacific Northwest National Laboratory, USA - Paul Lin, Lawrence Berkeley National Laboratory, USA - Kengo Nakajima, RIKEN, Japan - Yves Robert, ENS Lyon, France - Stuart Slattery, Oak Ridge National Laboratory, USA - Valerie Taylor, Argonne National Laboratory, USA - Keita Teranishi, Sandia National Laboratories, USA -- Christian Engelmann, Ph.D. Senior Scientist & Group Leader Intelligent Systems and Facilities Group Advanced Computing Systems Research Section Computer Science and Mathematics Division Oak Ridge National Laboratory Mail: P.O. Box 2008, Oak Ridge, TN 37831-6173, USA Phone: +1 (865) 574-3132 / Fax: +1 (865) 576-5491 e-Mail: engelmannc(a)ornl.gov<mailto:engelmannc@ornl.gov> / Home: www.christian-engelmann.info

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[Bench'21 CFP Deadline - August 6, 2021, 23:59:59 AoE] - 2021 BenchCouncil International Symposium on Benchmarking, Measuring and Optimizing)
by haotianshu＠ict.ac.cn 06 Aug '21

06 Aug '21

[Apologies if you receive multiple copies of this CFP] CALL FOR PAPERS ========================================================== 2021 BenchCouncil International Symposium on Benchmarking, Measuring and Optimizing (Bench'21) http://www.benchcouncil.org/bench21/index.html New papers deadline: August 6, 2021, 23:59:59 AoE Conference date: Nov. 14th - Nov. 16th, 2021 (Virtual) Submission site: https://bench2021.hotcrp.com/ ========================================================== Introduction ---------------- Sponsored and organized by the International Open Benchmark Council (BenchCouncil), the Bench conference encompasses a wide range of topics in benchmarking, measurement, evaluation methods and tools. Bench’s multi-disciplinary emphasis provides an ideal environment for developers and researchers from the architecture, system, algorithm, and application communities to discuss practical and theoretical work covering workload characterization, benchmarks and tools, evaluation, measurement and optimization, and dataset generation. Bench’21 conference invites manuscripts describing original work in the area of benchmarking, evaluation methods and tools in Big Data, Artifical Intelligence, High-Performance Computing and Computing Architectures (Call for Papers) . All accepted papers will be presented at the Bench’21 conference and will be published in a special issue of the BenchCouncil Transactions on Benchmarks, Standards and Evaluation (TBench). Sponsored by BenchCouncil, Bench’21 conference will present numerous awards, including the BenchCouncil Achievement Award ($3000), the BenchCouncil Rising Star Award ($1000), the BenchCouncil Distinguished Doctoral Dissertation Award ($1000)，and the BenchCouncil Best Paper Award ($1000). To encourage reliable and reproducible research using the benchmarks from all organizations, the Bench conference presents the BenchCouncil Award for Excellence for Reproducible Research to the papers using publicly available benchmarks. Each article receives a $100 prize, for up to 12 articles. Call for papers ------------------------ We solicit papers describing original and previously unpublished research. Specific topics of interest include, but are not limited to, the following. **Benchmark and standard specifications, implementations, and validations: -Big Data, Artificial intelligence (AI), High performance computing (HPC), Machine learning, Warehouse-scale computing, Mobile robotics, Edge and fog computing, Internet of Things (IoT), Blockchain, Data management and storage, Financial, Education, Medical or other application domains. **Dataset Generation and Analysis: -Research or industry data sets, including the methods used to collect the data and technical analyses supporting the quality of the measurements; Analyses or meta-analyses of existing data and original articles on systems, technologies and techniques that advance data sharing and reuse to support reproducible research; Evaluations of the rigor and quality of the experiments used to generate data and the completeness of the descriptions of the data; Tools generating large-scale data. **Workload characterization, quantitative measurement, design and evaluation studies: -Characterization and evaluation of Computer and communication networks, protocols and algorithms; Wireless, mobile, ad-hoc and sensor networks, IoT applications; Computer architectures, hardware accelerators, multi-core processors, memory systems and storage networks; HPC systems; Operating systems, file systems and databases; Virtualization, data centers, distributed and cloud computing, fog and edge computing; Mobile and personal computing systems; Energy-efficient computing systems; Real-time and fault-tolerant systems; Security and privacy of computing and networked systems; Software systems and services, and enterprise applications; Social networks, multimedia systems, web services; Cyber-physical systems. **Methodologies, abstractions, metrics, algorithms and tools: -Analytical modeling techniques and model validation; Workload characterization and benchmarking; Performance, scalability, power and reliability analysis; Sustainability analysis and power management; System measurement, performance monitoring and forecasting; Anomaly detection, problem diagnosis and troubleshooting; Capacity planning, resource allocation, run time management and scheduling; Experimental design, statistical analysis and simulation. Measurement and evaluation: -Evaluation methodologies and metrics; Testbed methodologies and systems; Instrumentation, sampling, tracing and profiling of large-scale, real-world applications and systems; Collection and analysis of measurement data that yield new insights; Measurement-based modeling (e.g., workloads, scaling behavior, assessment of performance bottlenecks); Methods and tools to monitor and visualize measurement and evaluation data; Systems and algorithms that build on measurement-based findings; Advances in data collection, analysis and storage (e.g., anonymization, querying, sharing); Reappraisal of previous empirical measurements and measurement-based conclusions; Descriptions of challenges and future directions that the measurement and evaluation community should pursue. Important Dates ------------------------ Submission website: https://bench2021.hotcrp.com/ -Abstract registration: August 6, 2021 -Full Papers: August 6, 2021 -Notification: September 15, 2021 -Final Papers Due: October 11, 2021 Paper Submission ------------------------ The reviewing process is double-blind. Upon acceptance, papers will be scheduled for publication in the BenchCouncil Transactions on Benchmarks, Standards, and Evaluation (TBench) and presentation at the Bench'21 conference. All accepted and eligible papers will be considered, by a panel of reviewers, for the BenchCouncil Best Paper Award and the BenchCouncil Award for Excellence for Reproducible Research. Papers must be submitted in PDF. For a full paper, the page limit is 12 double column pages in TBench format (All research article page limits do not include references and author biographies). For a short paper, the page limit is 8 double column pages in TBench format, not including references and author biographies. The submissions will be judged based on the merit of the ideas rather than the length. We only wish to publish papers of significant scientific content. Very short papers (of fewer than 4 pages) may be moved to the back matter. Such papers will neither be available for indexing nor visible as individual papers on SpringerLink. They will, however, be listed in the Table of Contents. Submission site: https://bench2021.hotcrp.com/ TBench Latex template: http://mirrors.ctan.org/macros/latex/contrib/els-cas-templates.zip Awards --------------------- * BenchCouncil Achievement Award ($3,000) - This award recognizes a senior member who has made long-term contributions to benchmarking, measuring, and optimizing. The winner is eligible for the status of a BenchCouncil Fellow. * BenchCouncil Rising Star Award ($1,000) - This award recognizes a junior member who demonstrates outstanding potential for research and practice in benchmarking, measuring, and optimizing. * BenchCouncil Best Paper Award ($1,000) - This award recognizes a paper presented at the Bench conferences, which demonstrates potential impact on research and practice in benchmarking, measuring, and optimizing. * BenchCouncil Distinguished Doctoral Dissertation Award ($1000) - This award recognizes and encourages superior research and writing by doctoral candidates in the broad field of benchmarks, data, standards, evaluations, and optimizations community. * BenchCouncil Award for Excellence for Reproduceable Research (Each winning paper earns a $100 prize, maximally up to 12 papers). - BenchCouncil incubates and hosts benchmark projects, and further encourages reliable and reproducible research using the benchmarks from BenchCouncil or other organizations. To this end, we present the BenchCouncil Award for Excellence for Reproducible Research to the papers using all publicly available benchmarks. Organization ----------------- General Chairs Resit Sendag, University of Rhode Island, USA Arne J. Berre, SINTEF Digital, Norway Program Chairs Lei Wang, ICT, Chinese Academy of Sciences, China Axel Ngonga, Paderborn University, Germany Chen Liu, Clarkson University, USA Special Session Chair Xiaoyi Lu, The University of California, Merced, USA Publications Chair Chunjie Luo, ICT, Chinese Academy of Sciences, China Registration Chair Fanda Fan, Chinese Academy of Sciences, China Technical Support Chair Ke Liu, Chinese Academy of Sciences, China Publicity Chairs Chen Zheng, Institute of Software, Chinese Academy of Sciences, China Zhen Jia, Amazon, USA Biwei Xie, Institute of Computing Technology, Chinese Academy of Sciences, China Pengfei Chen, Sun Yat-sen University, China Roberto V. Zicari, Z-Inspection® Initiative， Yrkeshögskolan Arcada, Helsinki， Seoul National University, South Korea Web Chair Guoxin Kang, Chinese Academy of Sciences, China Bench Steering Committees Jack Dongarra, University of Tennessee Geoffrey Fox, Indiana University D. K. Panda, The Ohio State University Felix, Wolf, TU Darmstadt Xiaoyi Lu, University of California, Merced Wanling Gao, ICT, Chinese Academy of Sciences & UCAS Jianfeng Zhan, ICT, Chinese Academy of Sciences &BenchCouncil Technical Program Committee Ben Blamey, Uppsala University Bin Ren, William & Mary Biwei Xie, Institute of Computing Technology, Chinese Academic of Science Bo Wu, Colorado School of Mines Chen Zheng, Institute of software, Chinese Academy of Sciences David Bermbach, Technische Universität Berlin, Mobile Cloud Computing Research Group Feiyi Wang, Oak Ridge National Laboratory Gwangsun Kim, POSTECH Jianfeng Zhan, Institute of Computing Technology, Chinese Academy of Sciences K. Selçuk Candan, Arizona State University Khaled Ibrahim, Lawrence Berkeley National Laboratory Mai Zheng, Iowa State University Mario Marino, Leeds Beckett University Matthew Bachstein, University of Tennessee Miaoqing Huang, University of Arkansas Piotr Luszczek, University of Tennessee Rui Ren, Lenovo Research Ryan Grant, Sandia National Laboratories Sascha Hunold, TU Wien Shu Yin, ShanghaiTech University Todor Ivanov, Lead Consult Vladimir Getov, University of Westminster Wanling Gao, Institute of Computing Technology, Chinese Academy of Sciences Woongki Baek, UNIST Xiaokun Yang, University of Houston-Clear Lake Xiaoyi Lu, University of California, Merced Yu Chen, Binghamton University Yunyou Huang, Guangxi Normal University Zhen Jia, Amazon Zhihui Du, New Jersey Institute of Technology

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Job Openings: Research Assistant Professor (3 vacancies) at Hong Kong Baptist University
by COMP HKBU 05 Aug '21

05 Aug '21

The Department of Computer Science at Hong Kong Baptist University presently offers BSc, MSc, MPhil, and PhD programmes, and is now seeking outstanding applicants for the following positions. Research Assistant Professor in Computer Science (3 vacancies) (PR0166/19-20) The positions are created and funded as part of the strategic research development initiatives in the Department. The appointees will be provided with a conducive research environment, and will work within an established group of faculty in the Department. They are also expected to perform group-based high-impact research and to undertake some teaching duties. Applicants should possess a PhD degree in Computer Science, Computer Engineering, Information Systems, or a related field, and sufficiently demonstrate abilities to conduct high-quality research in one of the Department's key research areas: (i) Artificial Intelligence and Machine Learning; (ii) Big Data and Data Management; (iii) Computer Vision and Pattern Recognition; and (iv) Distributed Systems and Networking. These key research areas have a special thematic focus on (a) Health Informatics and (b) Security and Privacy-aware Computing related applications. Initial appointment will be made on a fixed-term contract of two to three years. Re-appointment thereafter is subject to mutual agreement. For enquiry, please contact Dr William Cheung, Head of Department (email: william(a)comp.hkbu.edu.hk) More information about the Department can be found on its website at https://www.comp.hkbu.edu.hk <http://www.comp.hkbu.edu.hk/>. *Salary will be commensurate with qualifications and experience.* Application Procedure: Applicants are invited to submit their applications at the HKBU e-Recruitment System (jobs.hkbu.edu.hk) with samples of publications, preferably *three* best ones out of their most recent publications/works. Those should also request *two* referees to send in confidential letters of reference, with PR number (stated above) quoted on the letters, to the Human Resources Office (Email: recruit(a)hkbu.edu.hk) direct. Those who are not invited for interview 4 months after the closing date may consider their applications unsuccessful. All application materials including publication samples, scholarly/creative works will be disposed of after completion of the recruitment exercise. Details of the University’s Personal Information Collection Statement can be found at http://hro.hkbu.edu.hk/pics. The University reserves the right not to make an appointment for the post advertised, and appointment will be made according to the terms and conditions then applicable at the time of offer. Closing date: *Review of applications is on-going until the positions are filled.* URL: http://www.comp.hkbu.edu.hk/v1/?page=job_vacancies&id=540

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Call for Nominations: 2021 IEEE CS TCHPC ECR Award for Excellence in HPC
by Vladimir Getov 30 Jul '21

30 Jul '21

Call for Nominations: 2021 IEEE CS TCHPC Early Career Researchers Award for Excellence in High Performance Computing The IEEE Computer Society TCHPC Early Career Researchers Award for Excellence in High Performance Computing recognizes up to 3 individuals who have made outstanding, influential, and potentially long-lasting contributions in the field of high-performance computing within 5 years of receiving their PhD degree as of January 01 of the year of the award. It is sponsored by the IEEE Computer Society Technical Consortium on High Performance Computing (TCHPC) and its member Technical Committees: • Technical Committee on Parallel Processing (TCPP) • Technical Committee on Computer Communications (TCCC) • Technical Committee on Distributed Processing (TCDP) • Technical Committee on Cloud Computing (TCCLD) • Task Force on Rebooting Computing (TFRC) • Technical Committee on Computational Life Sciences (TCCLS) Nominations: A candidate must be nominated by member(s) of the community. An individual may nominate at most one candidate for this award. The nomination application must be submitted via email to tchpc-awards(a)computer.org as a single PDF file and should contain the following details: 1. Name/email of person making the nomination (self-nominations are not eligible). 2. Name/email of candidate for whom the award is recommended. 3. A statement by the nominator (maximum of 500 words) as to why the nominee is highly deserving of the award. Note that since the award is for outstanding contributions, the statement and supporting letters should address what the contributions are and why they are both outstanding and significant. The nomination should also list the names and email of up to 3 persons who have provided letters supporting the nomination. 4. CV of the nominee. 5. Up to three letters of support from persons other than the nominator – these should be collected by the nominator and included in the nomination. Important Dates: • Nomination Deadline: August 15, 2021 • Results Notification: September 15, 2021 Award Selection Committee: • Yuichiro Ajima, Fujitsu Limited, Japan • Ivona Brandic, Vienna University of Technology, Austria • Vladimir Getov, University of Westminster, UK (Chair) • Hatem Ltaief, KAUST, Saudi Arabia • Catherine (Katie) Schuman, ORNL, USA • Dingwen Tao, Washington State University, USA • Pedro Valero-Lara, ORNL, USA Note that members of the selection committee cannot be nominators or provide support letters. Award & Presentation Note: Awardees will be presented a plaque and provided with complimentary IEEE and IEEE CS membership for one year. They will also be recognized by IEEE Computer Society and TCHPC websites, newsletters, and archives. The awards will be presented at the SC21 conference that will be held in St. Louis, MO, USA during November 14 – 19, 2021. Details of the conference can be found at http://sc21.supercomputing.org/. For more information, please send email to tchpc-awards(a)computer.org The University of Westminster is a charity and a company limited by guarantee. Registration number: 977818 England. Registered Office: 309 Regent Street, London W1B 2HW. This message and its attachments are private and confidential. If you have received this message in error, please notify the sender and remove it and its attachments from your system.

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ML and Optimisation postdoc vacancies
by Uwe Aickelin 26 Jul '21

26 Jul '21

If you are looking for a Machine Learning / Optimisation postdoc, we have two exciting jobs for you. Please check below positions RF 4 (machine learning / optimisation) and RF 5 (uncertainty handling). You will work with a top team on a super high impact application - I can assure you our work could not be more central to current events in Australia!!! Please note, due to the urgency of the work, you must be currently located within Australia and able to commence immediately or as soon as your notice period has been served. These roles are part of a $20m Hub and more vacancies will be advertised soon. https://jobs.unimelb.edu.au/en/job/905792/research-fellows-pharma-and-food-… Please apply online – deadline 22 August 2021. Professor Uwe Aickelin | Head of School of Computing and Information Systems Faculty of Engineering and Information Technology Level 3, Melbourne Connect – 700 Swanston Street The University of Melbourne, Victoria 3010 Australia T: +61 3 8344 3635 E: uwe.aickelin(a)unimelb.edu.au<mailto:uwe.aickelin@unimelb.edu.au> http://aickelin.com/ | http://linkedin.com/in/aickelin [A close up of a sign Description automatically generated] <https://melbconnect.com.au/> [Join R U OK?Day | R U OK?] I acknowledge the Traditional Owners of the land on which I work, and pay my respects to the Elders, past and present. This email and any attachments may contain personal information or information that is otherwise confidential or the subject of copyright. Any use, disclosure or copying of any part of it is prohibited. The University does not warrant that this email or any attachments are free from viruses or defects. Please check any attachments for viruses and defects before opening them. If this email is received in error, please delete it and notify us by return email. CRICOS: 00116K

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2021 IEEE Technical Committee on Cloud Computing (TCCLD) Award Nomination
by Hojjat Baghban 25 Jul '21

25 Jul '21

*Dear Members and Friends, * As a friendly reminder, kindly please nominate qualified candidates for the* 2021 IEEE TCCLD* <https://tc.computer.org/tccld/awards/> awards listed below by August 20, 2021. Also, we truly thank you in advance to help with distributing the call for nominations. (https://tc.computer.org/tccld/awards/ ) *Call For Nominations ** 2021 IEEE Technical Committee on cloud computing (TCCLD ) Award Announcement* - - *TCCLD Outstanding Leadership Award * *This award recognizes one individual for her/his outstanding leadership contributions in the field of cloud computing. Also, the outstanding contributions in the application of cloud computing which affect and improve global business and help organizations and individuals are considered.* - *TCCLD Outstanding Service Award * *This award recognizes one individual with outstanding services to building the cloud computing community, and persistent volunteer efforts, such as services to IEEE TCCLD activities worldwide, annual related events.* - *TCCLD Women in Cloud Computing Award * *It recognizes women leaders who have made outstanding, influential, and potentially long-lasting contributions in the field of cloud computing and solve real problems. * - *TCCLD Impact Award * *It recognizes senior researchers or educators for her/his significant/distinguished contribution in the field of cloud computing.* - *TCCLD Outstanding Ph.D. Thesis Award. * TCCLD Outstanding Ph.D. thesis award is presented to a researcher whose Ph.D. thesis has the potential of a very high impact in cloud computing or gives direct evidence of such an impact. Only a Ph.D. degree obtained in 2020/2021 is considered for this award. - *TCCLD Rising Star Award (within 5 years of receiving the Ph.D. degree)* It recognizes outstanding young scientists and engineers who have demonstrated exceptional capabilities and made a significant contribution to the field of cloud computing. Only candidates who receive their Ph.D. within 5 years are eligible. - *TCCLD Research Innovation Award.* Anyone or one group of collaborators whose outstanding technical innovations are in the field of cloud computing. The contributors must have a long-term impact on advancing the theory and practice in cloud computing. - *Eligible applicants* 1. The IEEE TCCLD members. Join TCCLD Now <https://www.ieee.org/membership-catalog/productdetail/showProductDetailPage…> 2. Qualified candidates except for the IEEE TCCLD chairs, TCCLD executive committee members, and the past IEEE TCCLD awardees. 3. Nominees that have not been recognized for the TCCLD award will be reviewed with higher priority. 4. In terms of the TCCLD Outstanding Ph.D. Thesis Award, the Ph.D. degree should have been obtained in 2020/2021. - Please note: self-nomination is not permitted. *Nomination Process* - - Anyone in the field can nominate one person. Self-nominations are not accepted. - Nominations should include a proposed citation (up to 25 words), which includes the field of research/work and contributions, a detailed statement to justify the nomination (500 words or less), and personal/team web page URL of the nominee. - Two supporting letters are required for each nomination. The letters should address the significance of the contributions cited in the nomination. - Nominations that did not result in an award can be resubmitted or updated in subsequent years. - The Awards Committee will evaluate all nominations and decide on zero or more winners for each award category. *Important Dates:* - August 20, 2021: Nomination due - September 10, 2021: Selection results. (Internal) - The announcement of winners will be announced. IEEE DataCom 2021 <http://edgence.org/DATACOM2021/> *Submission Link* All nominations should be sent through the following link. All the files should be merged into one PDF file. * TCCLD Award Nomination <https://docs.google.com/forms/d/e/1FAIpQLSer9Ix6Ukue8UATIawg0cqUdBS4UxSDXNU…>* Note: If you require further information, feel free to contact ieeetccld(a)gmail.com <ieeetccld(a)gmail.com> *Awards committee chair* - *Professor Chunming Rong* <https://www.ux.uis.no/~chun/bio.html>, University of Stavanger, Norway, Email: chunming.rong(a)gmail.com Yours SIncerely, Hojjat Baghban, Ph.D. Executive Committee at IEEE Technical Committee on Cloud Computing (TCCLD), Membership Director.

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Call for Next-Generation Data Scientist Award - IEEE DSAA’2021
by ngds2021＠dsaa.co 23 Jul '21

23 Jul '21

Next Generation Data Scientist Award (NGDS Award) by IEEE International Conference on Data Science and Advanced Analytics (DSAA, CORE-A ranked) https://dsaa2021.dcc.fc.up.pt/ ** Deadline: 31 August 2021 The IEEE International Conference on Data Science and Advanced Analytics (DSAA) will offer a limited number (or none) of NGDS Awards every year to early‐career researchers (ECR) who have got PhD degrees within five years in data science. The NGDS Award has been the first and only global initiative to support the production and certification of qualified next‐generation data scientists. The NGDS awards will be sponsored by some of the DSAA sponsors. Each NGDS awardee will receive USD 1,000. One of the critical challenges facing the era of data science lies in the significant gap between the increasing data scientist job demand and the limited availability of qualified data scientists. The purpose of offering this NGDS award is to encourage young talents to conduct significant foundational research and applied innovation in Data Science toward a profound and world-standard level. All ECRs with the papers accepted at previous and current DSAA conferences are invited to apply, although the awards open to all applicants in data science. ** Selection Criteria of NGDS The DSAA steering committee sets up the NGDS Award to be highly prestigious and selective. Hence, the criteria for NGDS candidate selection are rigorous. This may involve the following aspects: -- PhD qualification in data science including statistics, machine learning, artificial intelligence, and other related fields; -- A strong track record in terms of theoretical contributions, business impact and/or educational contributions, which are quantifiable and outstanding; -- A reachable five-year career plan for significantly contributing to the data science community in terms of research, innovation, applications and/or education; -- Strong referee reports from two recognized data scientists; -- Strong recommendation from the candidate’s department or supervisor. ** How to Submit An NGDS Award Application? The deadline for applications is 31 August 2021. Applicants are encouraged to attend IEEE DSAA’2021 which will be held on 6-9 Oct 2021 in Porto, Portugal. An NGDS award candidate should submit an application to the NGDS award chairs, which includes: -- NGDS Award Application Form (download the NGDS application form from here) to address: dsaa2021(a)dsaa.co -- Applicant information; -- Response to the above selection criteria; -- Title, authors and track record of DSAA publications and attendance; -- Resume with affiliation, education background, publications, projects, cases of impact, awards etc.; -- Certificate showing staff ID and working status; -- Two referee reports with referee’s contact details and signatures; -- A recommendation letter from head of department or supervisor on the organization letterhead. -- All application materials should be zipped into a file titled “2021_NGDS_Applicant Last Name_ First Name.zip” and submitted to dsaa2021(a)dsaa.co. Successful candidates must register and attend DSAA’2021, otherwise, the award may be given to other candidates in the shortlist list per the selection committee’s decision. An announcement of the final winner will be made in the DSAA’2021 conference banquet. All documents should be in PDF and attached to the email. Late submissions, or documents in other formats will not be accepted. ** Contacts -- Any inquiries and questions should be addressed to dsaa2021(a)dsaa.co. -- More information and registration to DSAA’2021 is available here: https://dsaa2021.dcc.fc.up.pt/attending/registration. -- The list of existing NGDS Awardees is available at DSAA Awards webpage (https://dsaa.co/?page_id=1583)

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CFP - Special Session on High Performance Computing in Modelling and Simulation (HPCMS) - Valladolid (Spain)
by William Spataro 22 Jul '21

22 Jul '21

(sorry for cross postings) ************************************************************************** CALL FOR PAPERS: Special Session on High Performance Computing in Modelling and Simulation (HPCMS) Within PDP 2022 (pdp2022.infor.uva.es) The 30th Euromicro International Conference on Parallel, and Network-Based Computing Valladolid (Spain) (hybrid attendance) 9-11 March 2022 https://pdp2022.infor.uva.es/specialsessions/hpcms/hpcms.php Deadline: September 30th, 2021 Contact: William Spataro - spataro(a)unical.it ************************************************************************* AIMS AND SCOPE The development of models through which computers can simulate the evolution of artificial and natural systems is fundamental for the advancement of Science. In the last decades, the increasing power of computers has allowed to considerably extend the application of computing methodologies in research and industry, but also to the quantitative study of complex phenomena. This has permitted a broad application of numerical methods for differential equation systems (e.g., FEM, FDM, etc.) on one hand, and the application of alternative computational paradigms, such as Cellular Automata, Genetic Algorithms, Neural networks, Swarm Intelligence, etc., on the other. These latter have demonstrated their effectiveness for modelling purposes when traditional simulation methodologies have proven to be impracticable. Following the success of our past HPCMS workshops at PDP (since 2014), we are glad to invite you to our eighth edition which will take place in Valladolid (Spain). An important mission of the HPCMS Workshop is to provide a platform for a multidisciplinary community composed of scholars, researchers, developers, educators, practitioners and experts from world leading Universities, Institutions, Agencies and Companies in Computational Science, and thus in the High Performance Computing for Modelling and Simulation field. HPCMS intent is to offer an opportunity to express and confront views on trends, challenges, and state-of-the art in diverse application fields, such as engineering, physics, chemistry, biology, geology, medicine, ecology, sociology, traffic control, economy, etc. Topics of interest include, but are not limited to, the following: - High-performance computing in computational science: intra-disciplinary and multi-disciplinary research applications - Complex systems modelling and simulation - Cellular Automata, Genetic Algorithms, Neural networks, Swarm Intelligence implementations - Integrated approach to optimization and simulation - MPI, OpenMP, GPGPU applications in Computational Science - Optimization algorithms, modelling techniques related to optimization in Computational Science - High-performance Software developed to solve science (e.g., biological, physical, and social), engineering, medicine, and humanities problems - Hardware approaches of high performance computing in modeling and simulation IMPORTANT DATES Paper submission: 30 September 2021 Acceptance notification: 22 December 2021 Camera ready due: 16 January 2022 Conference: 9 - 11 March 2022 Submission guidelines Prospective authors should submit a full paper not exceeding 8 pages in the IEEE Conference proceedings format (IEEEtran, double-column, 10pt). Double-bind review: the first page of the paper should contain only the title and abstract; in the reference list, references to the authors own work should appear as "omitted for blind review" entries. For submission, please use the following link and select the HPCMS session: https://easychair.org/my/conference?conf=pdp2022 and select the "High Performance Computing in Modelling and Simulation" track. Manuscript submission Publication All accepted papers will be included in the same volume, published by the Conference Publishing Services (CPS). The Final Paper Preparation and Submission Instructions will be published after the notification of acceptance. Authors of accepted papers are expected to register and present their papers at the Conference. Conference proceedings will be submitted for inclusion in Xplore and the CSDL, and for indexing, among others, to DBLP, Scopus ScienceDirect, and ISI Web of Knowledge. Special Issue As for previous editions, organizers of the HPCMS session are planning a Special Issue of an important international ISI Journal, based on distinguished papers that will be accepted for the session. Organizers William Spataro - University of Calabria, Italy Georgios Sirakoulis - Democritus University of Thrace, Greece Giuseppe A. Trunfio - University of Sassari, Italy Rocco Rongo, University of Calabria, Italy Andrea Giordano, ICAR-CNR, Italy Program Committee Angelos Amanatiadis, Democritus University of Thrace, Greece Donato D'Ambrosio, University of Calabria, Italy Pawel Topa, AGH University of Science and Technology, Poland Gianluigi Folino, ICAR-CNR, Italy Lou D'Alotto, York College/CUNY, New York, USA Antonios Gasteratos, Democritus University of Thrace, Greece Ioakeim Georgoudas, Democritus University of Thrace, Greece Marco Beccutti, University of Torino, Italy Rolf Hoffmann, Darmstadt University, Germany Ioannis Karafyllidis, Democritus University of Thrace, Greece Yaroslav Sergeyev, University of Calabria, Italy Antisthenis Tsompanas, University of the West of England, UK Rocco Rongo, University of Calabria, Italy Georgios Sirakoulis, Democritus University of Thrace, Greece William Spataro, University of Calabria, Italy Giuseppe A. Trunfio, University of Sassari, Italy Marco Villani, University of Modena and Reggio Emilia, Italy Jaroslaw Was, AGH University of Science and Technology, Poland Davide Spataro, Degiro, The Netherlands Massimo Cafaro, University of Salento, Italy Andrea Giordano, ICAR-CNR, Italy Mario Cannataro, University Magna Graecia of Catanzaro, Italy Gihan R. Mudalige, University of Warwick, UK Alessio De Rango, University of Calabria, Italy -- °-°-°-°-°-°-°-°-°-°-°-°-°-°-°-°-°-°-°-°-°-°-°-° William Spataro Department of Mathematics & Computer Science High Performance Computing Center University of Calabria I-87036 Arcavacata di Rende (CS) Italy Phone(s) : +39.0984.496464 Fax : +39.0984.493570 Web: www.mat.unical.it/spataro Email: spataro(a)unical.it -°-°-°-°-°-°-°-°-°-°-°-°-°-°-°-°-°-°-°-°-°-°-°-° -- ------------------------------------------------------------------------------------------------------------------ Il banner è generato automaticamente dal servizio di posta elettronica dell'Università della Calabria <http://www.unical.it/5x1000>

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Invitation to join 2021 Summer Short Course 'Deep Learning and Computer Vision', 23-24th August 2021
by Ioanna Koroni 21 Jul '21

21 Jul '21

Dear Machine Learning and Deep Neural Networks engineers, scientists and enthusiasts, you are welcomed to register in the CVML Short e-course on 'Deep Learning and Computer Vision', 23-24th August 2021: http://icarus.csd.auth.gr/cvml-short-course-on-deep-learning-and-computer-vi sion-for-autonomous-systems-2021/ It will take place as a two-day e-course (due to COVID-19 circumstances), hosted by the Aristotle University of Thessaloniki (AUTH), Thessaloniki, Greece, providing a series of live lectures delivered through a tele-education platform (Zoom). They will be complemented with on-line video recorded lectures and lecture pdfs, to facilitate international participants having time difference issues and to enable you to study at own pace. You can also self-assess your knowledge, by filling appropriate questionnaires (one per lecture). You will be provided programming to improve your programming skills. You will also have accesses to tutorial exercises to better your theoretical understanding of selected CVML topics. This 6th edition of this course is part of the very successful CVML short course series that took place in the last four years. Course description 'Deep Learning and Computer Vision' The short e-course consists of 16 1-hour live lectures organized in two Parts (1 Part per day): Part A lectures (8 hours) provide an in-depth presentation to autonomous systems imaging and the relevant architectures as well as a solid background on the necessary topics of computer vision (Image acquisition, camera geometry, Stereo and Multiview imaging, Mapping and Localization) and machine learning (Introduction to neural networks, Perceptron, backpropagation, Deep neural networks, Convolutional NNs). Part B lectures (8 hours) provide in-depth views of the various topics encountered in autonomous systems perception, ranging from vehicle localization and mapping, to Neural SLAM, target detection and tracking. Part B also contains application-oriented lectures on autonomous drones, cars and marine vessels, e.g., drone mission planning for cinematography and related applications (marine surveillance, infrastructure/building inspection, car vision). Course lectures Part A: (first day, 8 lectures) 1. Introduction to autonomous systems imaging 2. <http://icarus.csd.auth.gr/digital-image-and-videos> Digital Image and Videos 3. <http://icarus.csd.auth.gr/camera-geometry/> Camera geometry 4. <http://icarus.csd.auth.gr/stereo-and-multiview-imaging-lecture> Stereo and Multiview imaging 5. <http://icarus.csd.auth.gr/artificial-neural-networks-perceptron-lecture> Introduction to Artificial Neural Networks. Perceptron 6. <http://icarus.csd.auth.gr/multilayer-perceptron-backpropagation-lecture> Multilayer perceptron. Backpropagation 7. Deep neural networks. <http://icarus.csd.auth.gr/convolutional-neural-networks-lecture> Convolutional NNs 8. Introduction to multiple drone imaging Part B: (second day, 8 lectures) 1. <http://icarus.csd.auth.gr/3d-robot-localization-and-mapping-lecture> Simultaneous Localization and Mapping 2. <http://icarus.csd.auth.gr/neural-slam-lecture/> Neural Slam 3. <http://icarus.csd.auth.gr/deep-object-detection-lecture> Deep Object Detection 4. 2D Visual Object Tracking 5. Drone mission planning and control 6. Introduction to car vision 7. Introduction to autonomous marine vehicles 8. CVML Software Development Tools Though independent, the attendees of this short e-course will greatly benefit by attending the CVML Short e-course on 'Computer Vision for Autonomous Systems' 25-27th August 2021: http://icarus.csd.auth.gr/cvml-programming-short-course-and-workshop-on-deep -learning-and-computer-vision-for-autonomous-systems-2021/ You can use the following link for course registration: http://icarus.csd.auth.gr/cvml-short-course-on-deep-learning-and-computer-vi sion-for-autonomous-systems-2021/ Lecture topics, sample lecture ppts and videos, self-assessment questionnaires, programming exercises and tutorial exercises can be found therein. For questions, please contact: Ioanna Koroni <koroniioanna(a)csd.auth.gr <mailto:koroniioanna@csd.auth.gr> > The short course is organized by Prof. I. Pitas, IEEE and EURASIP fellow and IEEE distinguished speaker. He is the coordinator of the EC funded International AI Doctoral Academy (AIDA <http://www.i-aida.org/> ), that is co-sponsored by all 5 European AI R&D flagship projects (H2020 ICT48). He was initiator and first Chair of the IEEE SPS Autonomous Systems Initiative. He is Director of the Artificial Intelligence and Information analysis Lab (AIIA Lab), Aristotle University of Thessaloniki, Greece. He was Coordinator of the European Horizon2020 R&D project Multidrone. He is ranked 249-top Computer Science and Electronics scientist internationally by Guide2research (2018). He has 33800+ citations to his work and h-index 86+. AUTH is ranked 153/182 internationally in Computer Science/Engineering, respectively, in USNews ranking. Relevant links: 1) Prof. I. Pitas: https://scholar.google.gr/citations?user=lWmGADwAAAAJ <https://scholar.google.gr/citations?user=lWmGADwAAAAJ&hl=el> &hl=el 2) Horizon2020 EU funded R&D project Aerial-Core: https://aerial-core.eu/ 3) Horizon2020 EU funded R&D project Multidrone: https://multidrone.eu/ 4) International AI Doctoral Academy (AIDA): http://www.i-aida.org/ 5) Horizon2020 EU funded R&D project AI4Media: https://ai4media.eu/ 6) AIIA Lab: https://aiia.csd.auth.gr/ Sincerely yours Prof. I. Pitas Director of the Artificial Intelligence and Information analysis Lab (AIIA Lab) Aristotle University of Thessaloniki, Greece Post scriptum: To stay current on CVML matters, you may want to register in the CVML email list, following instructions in: https://lists.auth.gr/sympa/info/cvml -- This email has been checked for viruses by Avast antivirus software. https://www.avast.com/antivirus

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[Final Paper Deadline in less than 1 Week] - IEEE International Conference on High Performance Computing, Data, and Analytics, HiPC 2021
by Sanmukh Kuppannagari 10 Jul '21

10 Jul '21

********************************************************************** We apologize if you received multiple copies of this email. Please feel free to distribute it to those who might be interested ********************************************************************** Final Paper Submission deadline for the IEEE International Conference on High Performance Computing, Data, Analytics, and Data Science, HiPC 2021 is in less than one week. Please submit your papers before the deadline. Please note that this is a hard deadline and no further extension will be granted. Paper Submission Deadline: 16 July, 2021 (hard deadline) More information can be found at the call for papers: https://hipc.org/call-for-papers/ Regards, Sanmukh Kuppannagari Senior Research Associate University of Southern California https://sanmukh.github.io/

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[CFP]13th Int. Conf. on on Neural Computation Theory and Applications :: New Late-Breaking Deadline - July 23rd
by Alessio Martino 09 Jul '21

09 Jul '21

CALL FOR PAPERS 13th International Conference on Neural Computation Theory and Applications New Late-Breaking Submission Deadline: July 23, 2021 http://www.ncta.ijcci.org/ <http://www.ncta.ijcci.org/> October 25 - 27, 2021 Online Streaming In Cooperation with Spanish Association of Artificial Intelligence Association for the Advancement of Artificial Intelligence Associazione Italiana per l'Intelligenza Artificiale Neural computation and artificial neural networks, especially in relation to deep learning, have seen an explosion of interest over the recent decades, and are being successfully applied across an extraordinary range of problem domains, in areas as diverse as finance, medicine, engineering, geology and physics, in problems of complex dynamics and complex behavior prediction, classification or control. Several architectures, learning strategies and algorithms have been introduced in this highly dynamic field in the last couple of decades. Nowadays, having reached notable scientific and applicative maturity, neural computation and related techniques are considered as major basis toward the completion of intelligent artificial systems. This conference intends to be a major forum for scientists, engineers and practitioners interested in the study, analysis, design, modeling and implementation of neural computing systems, both theoretically and in a broad range of application fields. Conference Chair(s) Juan Julian Merelo, University of Granada, Spain Kevin Warwick (honorary), University of Reading and Coventry University, United Kingdom Program Chair(s) H. K. Lam, King's College London, United Kingdom Marie Cottrell, Université Paris1, France With the presence of internationally distinguished keynote speakers: Susana Vieira, University of Lisbon, Portugal Joseph Rynkiewicz, Université de Paris 1 Panthéon-Sorbonne, France Carlos Coello, CINVESTAV-IPN, Mexico Barbara Hammer, Bielefeld University, Germany Proceedings will be submitted for indexation by: SCOPUS, Google Scholar, The DBLP Computer Science Bibliography, Semantic Scholar, Microsoft Academic, Engineering Index (EI), Web of Science / Conference Proceedings Citation Index. A short list of presented papers will be selected so that revised and extended versions of these papers will be published by Springer in a SCI Series book. All papers presented at the conference venue will also be available at the SCITEPRESS Digital Library. Also, a short list of best papers will be invited for a post-conference special issue of the Springer Nature Computer Science journal. Kind regards, Mónica Saramago NCTA Secretariat Web: http://www.ncta.ijcci.org/ <http://www.ncta.ijcci.org/> e-mail: ncta.secretariat(a)insticc.org <mailto:ncta.secretariat@insticc.org> ________________________________________ Alessio Martino, PhD, Research Fellow Italian National Research Council Institute of Cognitive Sciences and Technologies (ISTC-CNR) Via San Martino della Battaglia 44, 00185 Rome, Italy <https://www.google.com/maps/place/Via+S.+Martino+della+Battaglia,+44,+00185…> Phone: (+39)0644362370-5 E-mail: alessio.martino(a)istc.cnr.it <mailto:alessio.martino@istc.cnr.it> Web: www.istc.cnr.it/en <http://www.istc.cnr.it/en>

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Invitation for the 2021 Summer e-School on Deep Learning and Computer Vision, 23-27th August 2021, Aristotle University of Thessaloniki, Thessaloniki, Greece
by Ioanna Koroni 07 Jul '21

07 Jul '21

Dear Machine Learning, Computer Vision and Autonomous Systems engineers, scientists, and enthusiasts, you are welcomed to register to the 2021 Summer e-School on Deep Learning and Computer Vision: <http://icarus.csd.auth.gr/aiia-summer-school-on-autonomous-systems-2021/> http://icarus.csd.auth.gr/aiia-summer-school-on-autonomous-systems-2021/ It will take place on 23-27/08/2021 and will be hosted by the Artificial Intelligence and Information Analysis (AIIA) Lab, Aristotle University of Thessaloniki (AUTH), Thessaloniki, Greece. The summer e-school consists of two short e-courses: a) 'Short Course Computer Vision and Deep Learning 2021', 23-24th August 2021, having focus on autonomous drones, cars and marine vessels: <http://icarus.csd.auth.gr/cvml-short-course-on-deep-learning-and-computer-v ision-for-autonomous-systems-2021/> http://icarus.csd.auth.gr/cvml-short-course-on-deep-learning-and-computer-vi sion-for-autonomous-systems-2021/ b) 'Programming short course and workshop on Deep Learning and Computer Vision 2021', 25-27th August 2021, with applications in digital media and autonomous drones: <http://icarus.csd.auth.gr/cvml-programming-short-course-and-workshop-on-dee p-learning-and-computer-vision-for-autonomous-systems-2021/> http://icarus.csd.auth.gr/cvml-programming-short-course-and-workshop-on-deep -learning-and-computer-vision-for-autonomous-systems-2021/ You can follow the above-mentioned links for registration on either or both e-courses. For questions, please contact: Ioanna Koroni < <mailto:koroniioanna@csd.auth.gr> koroniioanna(a)csd.auth.gr> The first e-course contains 16 live (and recorded) lectures providing an in-depth presentation of computer vision and deep learning problems algorithms with applications on autonomous drones, cars and marine vessels. The second programming short e-course and workshop offers a mix of live (and recorded) lectures and programming workshops (hands-on lab exercises) and aims at developing registrants' programming skills for Deep Learning and Computer Vision, with focus on drone imaging/cinematography and digital media applications. Both short e-courses are organized by Prof. I. Pitas, IEEE and EURASIP fellow, He is AUTH prime investigation for H2020 project AerialCore, Coordinator of the European Horizon2020 R&D project Multidrone, Director of the Artificial Intelligence and Information analysis Lab (AIIA Lab), Aristotle University of Thessaloniki, Greece and Chair of the IEEE SPS Autonomous Systems Initiative. He is ranked 249 top Computer Science and Electronics Scientist internationally by Guide2research (2018). Aristotle University of Thessaloniki is the biggest University in Greece and in SE Europe. It is highly ranked internationally. Relevant links: 1. European Horizon2020 R&D projects Aerial-Core: <https://aerial-core.eu/> https://aerial-core.eu/, Multidrone: <https://multidrone.eu/> https://multidrone.eu/, AI4Media: <https://ai4media.eu/> https://ai4media.eu/ 2. AIIA Lab: <http://www.aiia.csd.auth.gr/> http://www.aiia.csd.auth.gr/ 3. Prof. I. Pitas: <https://scholar.google.gr/citations?user=lWmGADwAAAAJ&hl=el> https://scholar.google.gr/citations?user=lWmGADwAAAAJ&hl=el Course descriptions a) 'Short Course Computer Vision and Deep Learning 2021', 23-24th August 2021. <http://icarus.csd.auth.gr/cvml-short-course-on-deep-learning-and-computer-v ision-for-autonomous-systems-2021/> http://icarus.csd.auth.gr/cvml-short-course-on-deep-learning-and-computer-vi sion-for-autonomous-systems-2021/ Part A (8 hours), Computer vision topic list 1. Introduction to autonomous systems imaging 2. Digital Image and Videos 3. Camera geometry 4. Stereo and Multiview imaging 5. Introduction to Artificial Neural Networks. Perceptron 6. Multilayer perceptron. Backpropagation 7. Deep neural networks. Convolutional NNs 8. Introduction to multiple drone imaging Part B (8 hours) Deep learning topic list 1. Simultaneous Localization and Mapping 2. Neural Slam 3. Deep object detection 4. 2D Visual Object Tracking 5. Drone mission planning and control 6. Introduction to car vision 7. Introduction to autonomous marine vehicles 8. CVML Software development tools b) ''Programming short course and workshop on Deep Learning and Computer Vision 2021', 25-27th August 2021. <http://icarus.csd.auth.gr/cvml-programming-short-course-and-workshop-on-dee p-learning-and-computer-vision-for-autonomous-systems-2021/> http://icarus.csd.auth.gr/cvml-programming-short-course-and-workshop-on-deep -learning-and-computer-vision-for-autonomous-systems-2021/ Part A (8 hours), Deep learning and GPU programming sample topic list 1. Introduction to autonomous systems 2. Deep neural networks. Convolutional NNs 3. Parallel GPU and multi-core CPU architectures - GPU programming 4. Image classification with CNNs. 5. CUDA programming Part B (8 hours), Deep Learning for Computer Vision sample topic list 1. Deep learning for object/face detection 2. 2D object tracking 3. PyTorch: Understand the core functionalities of an object detector. Training and deployment. 4. OpenCV programming for object tracking Part C (8 hours), Autonomous UAV cinematography sample topic list 1. Video summarization 2. UAV cinematography 3. Video summarization with Pytorch 4. Drone cinematography with Airsim Sincerely yours Prof. I. Pitas -- This email has been checked for viruses by Avast antivirus software. https://www.avast.com/antivirus

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Open Ph.D. Position ESR4 within the European InnoCyPES Project
by Massimo CAFARO 06 Jul '21

06 Jul '21

InnoCyPES is a project funded under H2020 Marie Skłodowska-Curie Actions, Innovative Training Networks. Within the project, there is an available position at the University of Salento, Lecce, for talented, enthusiastic, and ambitious candidates with the skills and knowledge to make excellent research and breakthroughs in the field of cyber physical energy systems. The successful ESR (Early Stage Researcher) candidate will enroll in the PhD programme in Engineering of Complex Systems and be employed for 36 months in the InnoCyPES network, consisting of 7 academic beneficiaries, 4 industrial beneficiaries, in collaboration with 10 partner organizations. InnoCyPES targets at the key bottlenecks of digital transformation of the current energy system, where the ESRs are expected to study, investigate and improve various facets of digitalized and interconnected energy systems. Supervised by a consortium of prominent and experienced academic institutions, research institutes and industrial partners, they will collaboratively develop a cutting-edge system management platform that covers the entire lifecycle of data for energy system planning, operation and maintenance, based on an understanding of the energy system as a cyber-physical system. The ESR will be enrolled in an intensive doctoral training program that is both intersectoral – involving key stakeholders – and interdisciplinary, including information science, energy systems engineering and social science. Benefits All InnoCyPES ESRs will benefit from: - Extensive training in technical and transferrable skills; - Participation to network events, workshops and conferences; - A prestigious three-year MSCA Fellowship; - A competitive salary including mobility and family allowances; - Intersectoral secondment experience. Qualifications Applicants shall have proven interest in interdisciplinary and intersectoral research, and with specific interest in the InnoCyPES research areas as evidenced by the application documents. Besides, the following requirements are to be met: 1) have obtained their Master of Science degree in Computer Science, Computer Engineering or equivalent; 2) An excellent academic record (grades of B or higher) 3) have engineering background relevant to the following areas but not limited to: distributed computing, databases, distributed data management, security and privacy; knowledge of times series storage and analysis is a plus; 4) have good command of English (minimum C1 or equivalent). Requirements The applicants must fulfill the following conditions: 1) Early stage researchers: Applicants must be early-stage researchers, which means at the date of start, be in the first four years (full-time equivalent research experience) of their research careers and have not been awarded a doctoral degree; 2) Mobility Rule: researchers must not have resided or carried out their main activity (work, studies, etc.) in the country of the host institute for more than 12 months in the 3 years immediately before the recruitment date. Compulsory national service, short stays such as holidays, and time spent as part of a procedure for obtaining refugee status under the Geneva Convention1 are not taken into account. For international European interest organisations, international organisations, the European Commission's Joint Research Centre (JRC) or an 'entity created under Union law', recruited researchers must not have spent more than 12 months in the 3 years immediately before the recruitment date at the same appointing organisation. Are you interested? If you are interested in this exciting and challenging opportunity, please apply. Applicants of any age and of any nationality are eligible. The recruitment process follows an open, transparent, impartial, equitable and merit-based procedure and the European Charter and Code of Conduct for the Recruitment of Researchers. Consortium partners Host institute - Technical University of Denmark (DTU), Denmark - University of Utrecht (UU), Netherlands - Électricité de France (EDF), France - Delft University of Technology (TUD), Netherlands - University of Salento (UNILE), Italy - Norwegian University of Science and Technology (NTNU), Norway - Imperial College of London (ICL), United Kingdom - Dansk Energi (DE), Denmark - Austrian Institute of Technology (AIT), Austria - Siemens Gamesa Renewable Energy (SGRE), Denmark - Tajfun HiL (THiL), Serbia Partner organizations - Commonwealth Scientific and Industrial Research Organisation (CSIRO), Australia - DEPSYS (DEP), Switzerland - Equinor Energy (EQN), Norway - Swiss Federal Institute of Technology (ETH), Switzerland - Phase to Phase (Ph2Ph), Netherland - Instituto de Engenharia de Sistemas e Computadores - Investigação e Desenvolvimento (INESC), Portugal - NARI Technology (NARI), China - University of New South Wales (UNSW), Australia - Siemens, Denmark - Ørsted Wind Power (Ørsted), Denmark Open ESR position ESR4: Large scale data management The sheer quantum of data being created and collected across jurisdictions requires a carefully planned and proactive approach to data management. The need for fusion and integration of multiple data sources characterized by fragmented data ownership is driving innovative approaches to large scale distributed data management and integration to avoid inconsistent and inaccurate data. The aim is to investigate, design and implement a fully decentralized solution to provide efficient management of dynamically updated information and support for distributed queries. One or more domain specific use cases shall be identified within the context of the project, considering both the current and future needs of some of the involved partners. These nicely fit into the ESR research plan, owing to the need of surveying the user’s requirements to begin with; simultaneously, the uses cases can also be thought of as sources of advanced data management challenges. · Host organisation: University of Salento, Italy · PhD-enrolment: University of Salento · Duration: 36 months · Expected start date: ~Nov 2021 · Secondment: DE (4 months), TUD (4 months) · Research directors: Prof. Massimo Cafaro massimo.cafaro(a)unisalento.it Prof. Italo Epicoco italo.epicoco(a)unisalento.it Simon Tindemans S.H.Tindemans(a)tudelft.nl HOW TO APPLY: https://www1.unisalento.it/bandi-concorsi/-/bandi/view/65641043 The tender is available as “Phd call - Engineering of complex systems - 37° cycle" https://www1.unisalento.it/c/document_library/get_file?p_l_id=63872469&fold… Applicants will find the position searching the document for Research Area No. 3 N. 1 position funded on InnoCyPES research program Large scale data management and integration In particular, applicants are strongly advised to check in the same document the "Additional note for the position funded on the InnoCyPES research program”, in which all of the requirements for this position are listed. The deadline for applications is July 8 01.00 PM Italian time. - ************************************************************************************ Massimo Cafaro, Ph.D. Associate Professor of Parallel Algorithms and Data Mining Dept. of Engineering for Innovation University of Salento, Lecce, Italy Via per Monteroni 73100 Lecce, Italy Voice/Fax +39 0832 297371 Web http://sara.unisalento.it/~cafaro Web https://www.unisalento.it/people/massimo.cafaro E-mail massimo.cafaro(a)unisalento.it E-mail cafaro(a)ieee.org E-mail cafaro(a)acm.org CMCC Foundation Euro-Mediterranean Center on Climate Change Via Augusto Imperatore, 16 - 73100 Lecce massimo.cafaro(a)cmcc.it ************************************************************************************ --

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Postdoc Research Fellow position in autonomous cyber-physical systems security at ADSC Singapore
by Tan Rui (Assoc Prof) 06 Jul '21

06 Jul '21

Postdoc Research Fellow position in autonomous cyber-physical systems security at ADSC Singapore A Research Fellow position is immediately available at Advanced Digital Sciences Center (ADSC) to conduct research and development for a new project in autonomous cyber-physical systems. The project aims at studying both internal and external attacks in autonomous cyber-physical systems using learning-based approaches. The successful candidate will work on designing the attack strategy for the adversary and defence strategy for the system operator using the machine learning or deep learning techniques. The specific task will include problem formulation, machine learning or deep learning algorithm designing and testing. Qualification requirements: - Phd in computer science or electrical engineering. - Experience in machine learning or deep learning. Skills requirements: - Familiar with Python, or C/C++ programming - Experience in cyber security or cyber-physical system is a plus - Capability of independent research - Good communication skills, and work under stress How to apply: Interested candidates can apply at https://my.engr.illinois.edu/apply To receive prompt review, please also send a copy of CV to lou.xin(a)adsc-create.edu.sg. Shortlisted candidates will be notified. Illinois At Singapore Pte. Ltd./ Advanced Digital Sciences Center (ADSC) is a university-related organization affiliated with the University of Illinois at Urbana-Champaign (UIUC) established 2009 for the conduct of research in Singapore with founding funding from National Research Foundation (NRF). ADSC operates in Singapore under the Singapore-chartered Illinois at Singapore Pte. Ltd. in partnership with NRF and interfaces with UIUC in the USA for many of its support functions. ADSC is home to approximately 50 researchers and students focusing on breakthrough innovations in information technologies supporting interactive cyber infrastructures that are expected to have a major impact in transforming humans’ use of information in data-intensive, technologically developed societies. ADSC’s research mission is carried out through projects that facilitate interactions among UIUC researchers, local researchers and their industry partners. Through this, ADSC aims to enhance Singapore’s position as a hub for leading edge research. For more information about this area at ADSC, please visit ADSC's website: http://adsc.illinois.edu/ ________________________________ CONFIDENTIALITY: This email is intended solely for the person(s) named and may be confidential and/or privileged. If you are not the intended recipient, please delete it, notify us and do not copy, use, or disclose its contents. Towards a sustainable earth: Print only when necessary. Thank you.

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[Abstract Deadline in 1 Week] - IEEE International Conference on High Performance Computing, Data, and Analytics, HiPC 2021
by Sanmukh Kuppannagari 02 Jul '21

02 Jul '21

********************************************************************** We apologize if you received multiple copies of this email. Please feel free to distribute it to those who might be interested ********************************************************************** Abstract Submission deadline for the IEEE International Conference on High Performance Computing, Data, Analytics, and Data Science, HiPC 2021 is in one week. Please register your papers before the deadline. Abstract Submission Deadline: 8 July, 2021 Paper Submission Deadline: 16 July, 2021 (hard deadline) More information can be found at the call for papers: https://hipc.org/call-for-papers/ Regards, Sanmukh Kuppannagari Senior Research Associate University of Southern California https://sanmukh.github.io/

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[MHPC] Meet with us!
by Master in HPC 01 Jul '21

01 Jul '21

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ScalA@SC21 CFP - Papers due August 27
by Engelmann, Christian 30 Jun '21

30 Jun '21

We apologize if you receive multiple copies of this notice. ----------------------------------------------------------------------------- ScalA21: 12th Workshop on Latest Advances in Scalable Algorithms for Large-Scale Systems held in conjunction with the SC21: The International Conference on High Performance Computing, Networking, Storage and Analysis November 19, 2021, St. Louis, MO, USA <http://www.csm.ornl.gov/srt/conferences/Scala/2021> Novel scalable scientific algorithms are needed in order to enable key science applications to exploit the computational power of large-scale systems. This is especially true for the current tier of leading petascale machines and the road to exascale computing as HPC systems continue to scale up in compute node and processor core count. These extreme-scale systems require novel scientific algorithms to hide network and memory latency, have very high computation/communication overlap, have minimal communication, and have no synchronization points. With the advent of Big Data and AI in the past few years the need of such scalable mathematical methods and algorithms able to handle data and compute intensive applications at scale becomes even more important. Scientific algorithms for multi-petaflop and exa-flop systems also need to be fault tolerant and fault resilient, since the probability of faults increases with scale. Resilience at the system software and at the algorithmic level is needed as a crosscutting effort. Finally, with the advent of heterogeneous compute nodes that employ standard processors as well as GPGPUs, scientific algorithms need to match these architectures to extract the most performance. This includes different system-specific levels of parallelism as well as co-scheduling of computation. Key science applications require novel mathematical models and system software that address the scalability and resilience challenges of current- and future-generation extreme-scale HPC systems. Submission Guidelines --------------------- Authors are invited to submit manuscripts in English structured as technical papers at a length of at least 6 letter size (8.5in x 11in) pages and not exceeding 8 pages, including figures, tables, and references using the IEEE format for conference proceedings. Reference style files are available at <http://www.ieee.org/conferences_events/conferences/publishing/templates.html>. Submitted papers must represent original unpublished research that is not currently under review for any other conference or journal. Papers not following these guidelines will be rejected without review and further action may be taken, including (but not limited to) notifications sent to the heads of the institutions of the authors and sponsors of the conference. Submissions received after the due date, exceeding length limit, or not appropriately structured may also not be considered. Papers should be submitted electronically at <https://submissions.supercomputing.org>. All manuscripts will be peer-reviewed and judged on correctness, originality, technical strength, and significance, quality of presentation, and interest and relevance to the workshop attendees. At least one author of an accepted paper must register for and present the paper at the workshop. Authors may contact the workshop program chair, Christian Engelmann at engelmannc(a)ornl.gov, for more information. Important Web Sites ------------------- - ScalA21 Website: <https://www.csm.ornl.gov/srt/conferences/Scala/2021> - ScalA21 Submissions: <https://submissions.supercomputing.org> - SC21 website: <http://sc21.supercomputing.org/> Important Dates --------------- - Full paper submission: August 27, 2021 - Notification of acceptance: September 27, 2021 - Final paper submission (firm): TBD - Workshop/conference early registration: October 15, 2021 - Workshop: 8:30am - 12pm CST, November 19, 2021 Topics of interest include, but are not limited to: --------------------------------------------------- - Novel scientific algorithms that improve performance, scalability, resilience, and power efficiency - Porting scientific algorithms and applications to many-core and heterogeneous architectures - Performance and resilience limitations of scientific algorithms and applications at scale, including Data Science approaches in dealing with Big Data - Crosscutting approaches (system software and applications) in addressing scalability challenges - Scientific algorithms that can exploit extreme concurrency (e.g. 1 billion for exascale by 2023) - Naturally fault tolerant, self-healing, or fault oblivious scientific algorithms - Programming model and system software support for algorithm scalability and resilience (including ones enabling Big Data processing) Workshop Chairs --------------- - Vassil Alexandrov, Hartree Centre, Science and Technology Facilities Council, UK - Al Geist, Oak Ridge National Laboratory, USA - Jack Dongarra, University of Tennessee, Knoxville, USA Workshop Program Chair ---------------------- - Christian Engelmann, Oak Ridge National Laboratory, USA Contact at engelmannc(a)ornl.gov Program Committee ----------------- - Hartwig Anzt, University of Tennessee, Knoxville, USA - Rick Archibald, Oak Ridge National Laboratory, USA - Marco Berghoff, Karlsruhe Institute of Technology, Germany - Hans-Joachim Bungartz, Technical University of Munich, Germany - Florina M. Ciorba, University of Basel, Switzerland - James Elliott, Sandia National Laboratories, USA - Nahid Emad, University of Versailles SQ, France - Wilfried Gansterer, University of Vienna, Austria - Yasuhiro Idomura, Japan Atomic Energy Agency, Japan - Kirk E. Jordan, IBM T.J. Watson Research, USA - Dieter Kranzlmueller, Ludwig-Maximilians-University Munich, Germany - Sriram Krishnamoorthy, Pacific Northwest National Laboratory, USA - Paul Lin, Lawrence Berkeley National Laboratory, USA - Kengo Nakajima, RIKEN, Japan - Yves Robert, ENS Lyon, France - Stuart Slattery, Oak Ridge National Laboratory, USA - Keita Teranishi, Sandia National Laboratories, USA -- Christian Engelmann, Ph.D. Senior Scientist & Group Leader Intelligent Systems and Facilities Group Advanced Computing Systems Research Section Computer Science and Mathematics Division Oak Ridge National Laboratory Mail: P.O. Box 2008, Oak Ridge, TN 37831-6173, USA Phone: +1 (865) 574-3132 / Fax: +1 (865) 576-5491 e-Mail: engelmannc(a)ornl.gov / Home: www.christian-engelmann.info

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2nd CFP - 17th Doctoral Consortium (DC) on Logic Programming (ICLP-DC 2021)
by Miguel Areias 29 Jun '21

29 Jun '21

========================================================================= CALL FOR PAPERS ICLP DC 2021 - 17th Doctoral Consortium (DC) on Logic Programming ========================================================================= The 17th Doctoral Consortium (DC) on Logic Programming provides students with the opportunity to present and discuss their research directions, and to obtain feedback from both peers and experts in the field. The preliminary website of the DC can be found at: https://sites.google.com/view/iclp-dc-2021/iclp-2021-doctoral-consortium The DC will take place during the 37th International Conference on Logic Programming (ICLP) https://iclp2021.dcc.fc.up.pt (September 20-27, 2021), as a fully virtual event. The best paper from the DC will be given the opportunity to make a presentation in a session of the main ICLP conference. Important Dates *************** Paper submission: July 15, 2021 Notification: August 01, 2021 Camera-ready copy: August 10, 2021 DC presentations: TBA (fully virtual event) DC students are highly recommended to attend the Autumn School on Logic Programming and Constraint Programming (https://sites.google.com/view/iclp-dc-2021/autumn-school-on-logic-programmi…) Audience ******** The DC is designed for students currently enrolled in a Ph.D. program, though we are also open to exceptions (e.g., students currently in a Master's program and interested in doctoral studies). Students at any stage in their doctoral studies are encouraged to apply for participation in the DC. Applicants are expected to conduct research in areas related to logic and constraint programming; topics of interest include (but are not limited to): ** Foundations: Semantics, Formalisms, Nonmonotonic reasoning, Knowledge representation. ** Languages: Concurrency, Objects, Coordination, Mobility, Higher Order, Types, Modes, Assertions, Modules, Meta-programming, Logic-based domain-specific languages, Programming Techniques. ** Declarative programming: Declarative program development, Analysis, Type and mode inference, Partial evaluation, Abstract interpretation, Transformation, Validation, Verification, Debugging, Profiling, Testing, Execution visualization. ** Implementation: Virtual machines, Compilation, Memory management, Parallel/distributed execution, Constraint handling rules, Tabling, Foreign interfaces, User interfaces. ** Related Paradigms and Synergies: Inductive and Co-inductive Logic Programming, Constraint Logic Programming, Answer Set Programming, Interaction with SAT, SMT and CSP solvers, Logic programming techniques for type inference and theorem proving, Argumentation, Probabilistic Logic Programming, Relations to object-oriented and Functional programming. ** Applications: Databases, Big Data, Data integration and federation, Software engineering, Natural language processing, Web and Semantic Web, Agents, Artificial intelligence, Computational life sciences, Education, Cybersecurity, and Robotics. Submissions by students who have presented their work at previous ICLP DC editions are allowed, but should occur only if there are substantial changes or improvements to the student's work. The DC offers participants a convenient, more informal way to interact with established researchers and fellow students, through presentations, question-answer sessions, panel discussions, and invited presentations. The Doctoral Consortium will also provide the possibility to reflect - through short activities, information sessions, and discussions - on the process and lessons of research and life in academia. Each participant will give a short, critiqued, research presentation. Discussants *********** Renowned experts and researchers in the fields of logic and constraint programming will join in evaluating submissions and will participate in the DC, providing valuable feedback to DC participants. Goals ***** ** To provide doctoral students working in the fields of logic and constraint programming with a friendly and open forum to present their research ideas, listen to ongoing work from peer students, and receive constructive feedback. ** To provide students with relevant information about important issues for doctoral candidates and future academics. ** To develop a supportive community of scholars and a spirit of collaborative research. ** To support a new generation of researchers with information and advice on academic, research, industrial, and non-traditional career paths. Submission Details ****************** Submissions of the research summary must be made in EPTCS format (http://info.eptcs.org/) and submitted via EasyChair. All papers must be written in English and should be between 5 and 10 pages. For all accepted DC papers, the student is required to attend the DC program and give a presentation during the DC. A program committee consisting of experts in various areas related to logic and constraint programming reviews the submissions. Papers are reviewed by at least two, and usually three, referees. The submission package should consist of the research summary in the format mentioned above, a short vita or cover letter of the applicant, a letter of recommendation from applicant's faculty advisor, and one paragraph statement outlining how the school will benefit the applicant. All material is to be submitted electronically, in PDF format on the Easychair system. Easychair link: https://easychair.org/conferences/?conf=iclp2021 (Doctoral Consortium track) Research summary (make sure to include your complete name, address, and affiliation): The body of your research summary (no more than 10 pages, but 5 is fine as well!) should provide a clear overview of your research, its potential impact, and its current status. You are encouraged to include the following sections: ** Introduction and problem description ** Background and overview of the existing literature ** Goal of the research ** Current status of the research ** Preliminary results accomplished (if any) ** Open issues and expected achievements ** Bibliographical references Review Criteria *************** The DC program committee will select participants based on their anticipated contribution to the DC objectives. Participants typically have settled on their thesis directions and have their research proposal accepted by their thesis committee. Students will be selected based on clarity and completeness of their submission package, relevance of their research area w.r.t. the focus of ICLP, stage of research, recommendation letter, and evidence of promise towards a successful career in research and academia, such as published papers or technical reports. Registration ************ Registration is part of the ICLP 2021 registration. Registration costs for ICLP will be lower than usual since it is virtual this year. We aim to find sponsoring to cover the registration cost of students participating in the DC, but this still has to be confirmed. Program co-chairs ***************** Bart Bogaerts, Vrije Universiteit Brussel Carmine Dodaro, University of Calabria Program Committee ***************** Daniela Inclezan, Miami University OH Johannes Fichte, TU Dresden Fabio Fioravanti, University of Chieti-Pescara Gregory Gelfond, University of Nebraska at Omaha Zeynep G. Saribatur, Vienna University of Technology Frank Valencia, LIX, Ecole Polytechnique Matthias Van der Hallen, KU Leuven Yi Wang, Arizona State University Jessica Zangari, University of Calabria

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Phd opprtunities @University of Lille and INRIA
by El-ghazali Talbi 29 Jun '21

29 Jun '21

*** Re-Posting - Please help distribute it to interested once **** 2 PhD Opportunity in optimization, metaheuristics and deep learning - Deadline July 30, 2021 1. "Multi-criteria design and optimization of deep learning models: Application to embedded systems". Collaboration with IRT-SystemX Paris Saclay. See the linkhttps://www.irt-systemx.fr/recrutement/multi-criteria-automated-design-and-optimization-of-deep-neural-networks/ for more details. 2. "Optimization of deep learning models for spacio-temporel prediction", Collaboration with EDF Paris Saclay. contact: Prof. El-Ghazali TALBI, e-mail:el-ghazali.talbi@univ-lille.fr -- ********************************************************************** META'2021 International Conference on Metaheuristics and Nature Inspired Computing 27-30 Oct 2021, Marrakech, Morocco http://meta2021.sciencesconf.org *********************************************************************** ********************************************************************** OLA'2022 International Conference on Optimization and Learning July 2022, Sicilia, Italy *********************************************************************** Prof. El-ghazali TALBI Polytech'Lille, University Lille - INRIA CRISTAL - CNRS guide2research.com

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[CFP]13th Int. Conf. on on Neural Computation Theory and Applications :: New Submission Deadline - July 2nd
by Alessio Martino 25 Jun '21

25 Jun '21

CALL FOR PAPERS 13th International Conference on Neural Computation Theory and Applications New Regular/Position Paper Submission Deadline: July 02, 2021 http://www.ncta.ijcci.org/ <http://www.ncta.ijcci.org/> October 25 - 27, 2021 Online Streaming In Cooperation with Spanish Association of Artificial Intelligence Association for the Advancement of Artificial Intelligence Associazione Italiana per l'Intelligenza Artificiale Neural computation and artificial neural networks, especially in relation to deep learning, have seen an explosion of interest over the recent decades, and are being successfully applied across an extraordinary range of problem domains, in areas as diverse as finance, medicine, engineering, geology and physics, in problems of complex dynamics and complex behavior prediction, classification or control. Several architectures, learning strategies and algorithms have been introduced in this highly dynamic field in the last couple of decades. Nowadays, having reached notable scientific and applicative maturity, neural computation and related techniques are considered as major basis toward the completion of intelligent artificial systems. This conference intends to be a major forum for scientists, engineers and practitioners interested in the study, analysis, design, modeling and implementation of neural computing systems, both theoretically and in a broad range of application fields. Conference Chair(s) Juan Julian Merelo, University of Granada, Spain Kevin Warwick (honorary), University of Reading and Coventry University, United Kingdom Program Chair(s) H. K. Lam, King's College London, United Kingdom Marie Cottrell, Université Paris1, France With the presence of internationally distinguished keynote speakers: Susana Vieira, University of Lisbon, Portugal Joseph Rynkiewicz, Université de Paris 1 Panthéon-Sorbonne, France Carlos Coello, CINVESTAV-IPN, Mexico Barbara Hammer, Bielefeld University, Germany Proceedings will be submitted for indexation by: SCOPUS, Google Scholar, The DBLP Computer Science Bibliography, Semantic Scholar, Microsoft Academic, Engineering Index (EI), Web of Science / Conference Proceedings Citation Index. A short list of presented papers will be selected so that revised and extended versions of these papers will be published by Springer in a SCI Series book. All papers presented at the conference venue will also be available at the SCITEPRESS Digital Library. Also, a short list of best papers will be invited for a post-conference special issue of the Springer Nature Computer Science journal. Kind regards, Mónica Saramago NCTA Secretariat Web: http://www.ncta.ijcci.org/ <http://www.ncta.ijcci.org/> e-mail: ncta.secretariat(a)insticc.org <mailto:ncta.secretariat@insticc.org> ________________________________________ Alessio Martino, PhD, Research Fellow Italian National Research Council Institute of Cognitive Sciences and Technologies (ISTC-CNR) Via San Martino della Battaglia 44, 00185 Rome, Italy <https://www.google.com/maps/place/Via+S.+Martino+della+Battaglia,+44,+00185…> Phone: (+39)0644362370-5 E-mail: alessio.martino(a)istc.cnr.it <mailto:alessio.martino@istc.cnr.it> Web: www.istc.cnr.it/en <http://www.istc.cnr.it/en>

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Deadlines Approaching - IEEE International Conference on High Performance Computing, Data, and Analytics, HiPC 2021
by Sanmukh Kuppannagari 23 Jun '21

23 Jun '21

********************************************************************** We apologize if you received multiple copies of this email. Please feel free to distribute it to those who might be interested ********************************************************************** Paper submission deadlines for the IEEE International Conference on High Performance Computing, Data, Analytics, and Data Science, HiPC 2021 are approaching. Please note that these are hard deadlines and no further extension will be granted. Abstract Submission Deadline: 8 July, 2021 Paper Submission Deadline: 16 July, 2021 (hard deadline) More information can be found at the call for papers: https://hipc.org/call-for-papers/ Regards, Sanmukh Kuppannagari Senior Research Associate University of Southern California https://sanmukh.github.io/

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CFP - Workshop on Goal-directed Execution of Answer Set Programs (GDE 2021)
by Miguel Areias 15 Jun '21

15 Jun '21

========================================================================= CALL FOR PAPERS GDE 2021: Workshop on Goal-directed Execution of Answer Set Programs https://utdallas.edu/~gupta/gde21 ========================================================================= A workshop of 37th International Conference on Logic Programming September 20-27, 2021 (the event will be virtual) ========================================================================= Workshop Aim: ************* Answer set programming is a successful extension of logic programming for solving combinatorial problems as well as knowledge representation and reasoning problems. Most current implementations of ASP work by grounding a program and using a SAT solver-like technology to find the answer sets. While this approach is extremely efficient, relying on grounding of the program leads to significant blow-up of the program size, and computing the whole model makes finding justification of an atom in the model hard. This limits the applicability of ASP to problems dealing with large knowledge bases. Goal-directed or query-driven execution strategies have been proposed that do not require grounding. The goal of this workshop is to foster discussion around challenges and opportunities that such approaches present. Tentative list of topics include: ********************************* * Non-grounding based implementations of ASP * Constructive Negation * Implementation Technology for Goal-directed ASP * Applications of Goal-directed ASP * Query-driven Constraint ASP * System Description * Tabling in goal-directed ASP Systems * Coinductive Logic Programming and ASP Submission Instructions: ************************ Technical papers, position papers, as well as extended abstracts are welcome. Papers should be maximum 15 pages long and in LNCS Format. Email the paper in pdf format to the workshop organizers by the deadline date. Important Dates: **************** Paper Submission: August 5, 2021 Decision Notification: August 15, 2021 Workshop Date: TBA (During one of ICLP'21 Conference days) Invited Speakers: ***************** TBA Organizers: *********** *Gopal Gupta, The University of Texas at Dallas, USA; Gopal.Gupta(a)utdallas.edu *Joaquin Arias, Joaquin Arias, Universidad Rey Juan Carlos, Spain; Joaquin.Arias(a)urjc.es *Elmer Salazar, The University of Texas at Dallas, USA; Elmer.Salazar(a)utdallas.edu Program Committee: ****************** TBA =========================================================================

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