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[Deadline Extended] CFP : International Workshop on Statistical Methods and Artificial Intelligence (IWSMAI 2022)
by abdallah abarda 20 Nov '21

20 Nov '21

*International Workshop on **Statistical Methods and Artificial Intelligence* *(IWSMAI 202**2**)* *March 22 - 25, 202**2**, PORTO, PORTUGAL.* https://sites.google.com/view/iwsmai/home The aim of IWSMAI is to bring together researchers, professors and students from around the world to present their latest ideas and research results within the scope of IWSMAI 2022. This workshop will also provide an ideal environment to develop new collaborations and meet experts on the fundamentals, applications, and products of Statistical Methods and Artificial Intelligence fields. The workshop will include presentations of contributed papers, poster sessions, and state of the art lectures by invited keynote speakers. *Topics:* · Artificial Intelligence · Statistical methods · Data Analysis and Data mining · Computational Statistic · Supervised and unsupervised learning · Statistical methodology · Bioinformatics · Medical statistics · Deep Learning · Intelligent Transportation Systems · Data Collection and Applications · Data Science and Blockchain Technology · Data Science and Artificial Intelligence · Big Data · Mathematical Statistics · Economic intelligence · Statistical Software (R, SAS, Python) All accepted papers will be scheduled for oral presentations and will be included in the conference proceedings published by Elsevier Science in the open-access Procedia Computer Science series on-line (indexed by *Scopus)* Selected papers will be invited for publication, in the special issues of: -International Journal of Ambient Intelligence and Humanized Computing (IF: 1.588), by Springer: https://www.springer.com/journal/12652 - International Journal on Transportation Research Part A: Policy and Practice (IF: 3.69): https://www.journals.elsevier.com/transportation-research-part-a-policy-and… - International Journal of Computing and Informatics (IF: 0.504): http://www.cai.sk/ojs/index.php/cai/index [image: image.png] [image: image.png] *Important Dates:* · Paper submission deadline: * December 20, 2021 * · Notification of acceptance: *January 10, 2022* · Camera-ready submission: *January** 20 **, 2022* · Final Manuscript Due : *Mars 22-25, 2022* *Contact :* Email: abdallah.abarda(a)uhp.ac.ma --

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CFP to Special Issue in TCBB on Deep Learning-Empowered Big Data Analytics in Biomedical Applications and Digital Healthcare - Deadline Dec. 30, 2021
by Xiaokang Zhou 18 Nov '21

18 Nov '21

[Apologies for multiple postings] Dear Professor(Dr.), It is my pleasure and honor to share this CFP in IEEE/ACM Transactions on Computational Biology and Bioinformatics. Please consider submitting a paper to a Special Issue on "Deep Learning Empowered Big Data Analytics in Biomedical Applications and Digital Healthcare" for TCBB. The deadline is Dec. 30, 2021. Also, please kindly help distribute the CFP (see following) and encourage your colleagues, friends, and students to make submissions. Your strong supports are highly appreciated. [TCBB Call for Papers] https://www.computer.org/digital-library/journals/tb/call-for-papers-specia… ===================================================================================================== IEEE/ACM Transactions on Computational Biology and Bioinformatics Special Issue on Deep Learning-Empowered Big Data Analytics in Biomedical Applications and Digital Healthcare ---------------------------------------------------------------------------------------------------------------------------------------------- Aims and Scope Deep learning and big data analysis are among the most important research topics in the fields of biomedical applications and digital healthcare. With the fast development of AI and IoT technologies, deep learning for big data analytics, including affective learning, reinforcement learning, and transfer learning, are widely applied to sense, learn, and interact with human health. Examples of biomedical application include smart biomaterials, biomedical imaging, heartbeat/blood pressure measurement, and eye tracking. These biomedical applications collect healthcare data through remote sensors and transfer the data to a centralized system for analysis. With an enormous amount of historical data, deep learning and big data analysis technologies are able to identify potential linkage between features and possible risks, raise important decision for medical diagnosis, and provide precious advice for better healthcare treatment and lifestyle. Although significant progress has been made with AI, deep learning, and big data analysis technologies for medical and healthcare research, there remain gaps between the computer-aided treatment design and real-world healthcare demands. In addition, there are unexplored areas in the fields of healthcare and biomedical applications with cutting-edge AI and deep learning technologies. Therefore, exploring the possibility of deep learning and big data analysis technology in the fields of biomedical applications and healthcare is in high demand. Topics of interest include (but are not limited to): • Deep learning in medicine, human biology, and healthcare • Deep learning-based clinical decision making • Deep learning in biomedical applications • Deep learning in medical and healthcare education • Deep learning-based computer vision on medical images • Big data with smart computing in bioinformatics and biomechanics • Big data analytics for human biology and healthcare services • Big data with intelligent IoT for smart healthcare • Big data analytics in biomedical services • Knowledge-based or agent-based models for biological systems • Distributed systems in medical and healthcare services • Intelligent devices and instruments for medical and healthcare services • Intelligent and process-aware information systems in human biology, healthcare, and medicine Submissions Authors should prepare their manuscript according to the Author Information of IEEE/ACM Transactions on Computational Biology and Bioinformatics available from https://www.computer.org/csdl/journal/tb, and submit online at: https://mc.manuscriptcentral.com/tcbb-cs. To ensure that the manuscript is correctly identified for inclusion into the special issue, authors must select "SI - Deep Learning-Empowered Big Data Analytics in Biomedical Applications and Digital Healthcare" when they reach the “Article Type” step in the submission process. Important Dates Paper Submission Deadline: December 30, 2021 First Round of Reviews Deadline: March 30, 2022 Submission of Revision Deadline: May 30, 2022 Second Round of Reviews Deadline: July 30, 2022 Decision of Acceptance Deadline: August 30, 2022 Guest Editors • Xiaokang Zhou, Shiga University, Japan • Carson Leung, University of Manitoba, Canada • Kevin Wang, The University of Auckland, New Zealand • Giancarlo Fortino, University of Calabria, Italy Contact Information Dr. Zhou (zhou(a)biwako.shiga-u.ac.jp) -- Xiaokang Zhou (周暁康), Ph.D. Associate Professor Faculty of Data Science, Shiga University 1-1-1 Banba, Hikone, Shiga 522-8522, Japan Email: zhou(a)biwako.shiga-u.ac.jp Phone: +81-749-27-1290

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CFP: Int. Conf. on Image Processing Theory, Tools, and Applications (IPTA'22)
by Andreas Uhl 16 Nov '21

16 Nov '21

==================================================================================================================== Call for Papers (CFP): 11th International Conference on Image Processing Theory, Tools and Applications (IPTA 2022) http://www.ipta-conference.com/ipta22/ Salzburg, Austria, 19.04. - 22.04.2022 ==================================================================================================================== The eleventh International Conference on Image Processing Theory, Tools and Applications IPTA 2022 aims at gathering international researchers, innovators, educators, and practitioners in image processing for attending extensive educational high level materials, sharing their achievements, exchanging their experiences and discussing future orientations. The conference aims to provide an excellent forum to meet and discuss various important issues on image processing and applications. Topics include but are not limited to: Image formation, scanning, display and printing Image and video processing, coding and compression Pattern recognition and computer vision Perceptual analysis of images and video Image forensics and security Machine Learning methods for image and video analysis Virtual and augmented reality Artificial Intelligence for weather and climate modelling Applications IPTA'22 is organised in parallel with the International Workshop on Biometrics and Forensics (IWBF'22) at the same location during the same time to provide the possibility to exploit synergies betweeen the two events (see http://iwbf22.cs.sbg.ac.at/). SUBMISSION ========== Papers must be submitted in English and formatted according to the instructions given at http://www.ipta-conference.com/ipta22/index.php/submission. Accepted papers will be published at IEEE Xplore. A selection of the best (and topically connected) papers from the conference will be invited to submit an extended version to special issues of journals. Please check and carefully follow the instructions provided in the templates which contains detailed instructions on formatting your document. Authors should submit a paper maximum of 6 pages including figures and references, carefully checked for correct grammar and spelling, using the on-line submission procedure indicated on the web-page. Authors are required to remove their names and affiliations as well as obvious self-citations in their papers to enable a double-bling refereeing procedure. Please also watch out for the Special Sessions to be accepted @ IPTA'22, which will be announced in a rolling procedure until mid December. There is a call for special sessions at the IPTA 2022 wich is open until 30.11.2021, for more information see http://www.ipta-conference.com/ipta22/index.php/call-for-special-session. Paper Submission Deadline ========================= January 10th, 2022. -- --------------------------------------------------------------- | Andreas Uhl | Salzburg University | | ++43 662 8044 6303 | Department of Computer Sciences | | uhl(a)cs.sbg.ac.at | Jakob-Haringerstr.2 | | www.wavelab.at | 5020 Salzburg Austria Europe | ---------------------------------------------------------------

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Deadline Extended: Australasian Symposium on Parallel and Distributed Computing (AusPDC), Nov 29
by Bahman Javadi 15 Nov '21

15 Nov '21

(Apologies if you received duplicate copies of this CFP) ============================ 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 (29 November 2021 - extended) Author notification: 19 December 2021 Camera-ready full papers due: 14 January 2021 Conference dates: 14 - 18 February 2022 All dates refer to 23:59, anywhere on earth (AoE) on that day. **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 COMMITTEE 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 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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