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

19 Aug '21

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

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

19 Aug '21

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

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

16 Aug '21

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

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

06 Aug '21

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

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

05 Aug '21

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

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

30 Jul '21

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

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

26 Jul '21

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

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

25 Jul '21

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

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

23 Jul '21

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

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

22 Jul '21

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

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