computational.science

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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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