computational.science November 2020

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IEEE HiPC 2020 Call For Participation
by sanmukh＠hipc.org 30 Nov '20

30 Nov '20

*********************************************************************** CALL FOR PARTICIPATION IEEE International Conference on High Performance Computing, Data, and Analytics, HiPC 2020 https://hipc.org/ *********************************************************************** HiPC 2020 is the 27th edition of the IEEE International Conference on High Performance Computing, Data, and Analytics. The conference focus is not only HPC but also includes Data Science. Due to the COVID-19 pandemic, this year the conference will be held virtually on December 16, 17, and 18. Each day of the three day event will open with a keynote talk, followed by two one-hour live remote sessions to present the technical program of thirty-three peer reviewed papers. All papers accepted for the conference will be published as part of the proceedings that will be available before, during, and after the week of the scheduled conference. The online publication will include both papers and presentations (slides) for each paper. Access to the online publication is part of the free registration to attend the virtual live sessions. See here (https://hipc.org/register2020/) to register. Below is the planned program schedule for the conference. Return regularly for updates and details on how to attend. All times below are India Standard Time (IST). Wednesday, December 16th Keynote Talk (9:00-10:00 AM IST) Kathy Yelick University of California at Berkeley and Lawrence Berkeley National Laboratory Computing and Data Challenges in Climate Change Best Papers Session (10:10 AM IST – start time) SimGQ: Simultaneously Evaluating Iterative Graph Queries Chengshuo Xu, Abbas Mazloumi, Xiaolin Jiang and Rajiv Gupta WarpCore: A Library for fast Hash Tables on GPUs Daniel Jünger, Robin Kobus, André Müller, Kai Xu, Weiguo Liu, Christian Hundt and Bertil Schmidt Session 1: Applications (11:20 AM IST – start time) Towards High Performance, Portability, and Productivity: Lightweight Augmented Neural Networks for Performance Prediction Ajitesh Srivastava, Naifeng Zhang, Rajgopal Kannan and Viktor K. Prasanna. Performance Optimization and Scalability Analysis of the MGB Hydrological Model Henrique R. A. Freitas, Celso Luiz Mendes and Aleksandar Ilic Exploring Task Parallelism for the Multilevel Fast Multipole Algorithm Michael Lingg, H. Metin Aktulga, Balasubramaniam Shanker, Stephen Hughey and Doga Dikbayir SparsePipe: Parallel Deep Learning for 3D Point Clouds Keke Zhai, Pan He, Tania Banerjee, Anand Rangarajan and Sanjay Ranka HyPR: Hybrid Page Ranking on Evolving Graphs Hemant Kumar Giri, Mridul Haque and Dip Sankar Banerjee Distributing Sparse Matrix/Graph Applications in Heterogeneous Clusters -- an Experimental Study Charilaos Tzovas, Maria Predari and Henning Meyerhenke ************************************************************************************************ Thursday, December 17th Keynote Talk (9:00-10:00 AM IST) Animashree Anandkumar California Institute of Technology and Machine Learning Research, NVIDIA Role of HPC in next-generation AI Session 2: Scalable Data Science (10:10 AM IST – start time) Processor Pipelining Method for Efficient Deep Neural Network Inference on Embedded Devices Akshay Parashar, Arun Abraham, Deepak Chaudhary and Vikram Nelvoy Rajendiran Avoiding Communication in Logistic Regression Aditya Devarakonda and James Demmel A Parallel and Scalable Framework for Insider Threat Detection Abdoulaye Diop, Nahid Emad and Thierry Winter Blink: Towards Efficient RDMA-based Communication Coroutines for Parallel Python Applications Aamir Shafi, Jahanzeb Maqbool Hashmi, Hari Subramoni and Dhabaleswar K. Panda Content-defined Container Delivery Yuta Nakamura, Tanu Malik and Raza Ahmad Model Checking as a Service using Dynamic Resource Scaling Surya Teja, Yuvraj Singh, Adhish Singla, Suresh Purini and Venkatesh Choppella Session 3: Algorithms (11:20 AM IST – start time) Parallel Hierarchical Clustering using Rank-Two Nonnegative Matrix Factorization Lawton Manning, Grey Ballard, Ramakrishnan Kannan and Haesun Park Pipelined Preconditioned Conjugate Gradient Methods for Distributed Memory Systems Manasi Tiwari and Sathish Vadhiyar Fair Allocation of Asymmetric Operations in Storage Systems Thomas Keller and Peter Varman A GPU Algorithm for Earliest Arrival Time Problem in Public Transport Networks Chirayu Anant Haryan, G. Ramakrishna, Rupesh Nasre and Allam Dinesh Reddy 2D Static Resource Allocation Strategies for Load Balancing in Compressed Linear Algebra under Communication Constraints Olivier Beaumont, Lionel Eyraud-Dubois and Mathieu Verite Algorithms for Preemptive Co-scheduling of Kernels on GPUs Lionel Eyraud-Dubois and Cristiana Bentes ************************************************************************************ Friday, December 18th Keynote Talk (9:00-10:00 AM IST) Fabrizio Petrini Parallel Computing Lab Intel Corporation Breaking the Scalability Wall Session 4: Runtime Systems (10:10 AM IST – start time) Understanding HPC Application I/O Behavior Using System Level Statistics Arnab K. Paul, Olaf Faaland, Adam Moody, Elsa Gonsiorowski, Kathryn Mohror and Ali R. Butt AMCilk: A Framework for Multiprogrammed Parallel Workloads Zhe Wang, Chen Xu, Kunal Agrawal and Jing Li Extending SLURM for Dynamic Resource-Aware Adaptive Batch Scheduling Mohak Chadha, Jophin John and Michael Gerndt On the Marriage of Asynchronous Many Task Runtimes and Big Data: A Glance Joshua Suetterlein, Joseph Manzano, Andres Marquez and Gunag Gao Exposing data locality in HPC-based systems by using the HDFS backend Jose Rivadeneira, Felix Garcia-Carballeira, Jesus Carretero and Javier Garcia-Blas PufferFish: NUMA-Aware Work-stealing Library using Elastic Tasks Vivek Kumar Design and Study of Elastic Recovery in HPC Applications Kai Keller, Konstantinos Parasyris and Leonardo Bautista Session 5: System Software and Architecture (11:30 AM IST – start time) Accelerating Force-directed Graph Layout with Processing-in-Memory Architecture Ruihao Li, Shuang Song, Qinzhe Wu and Lizy K. John Nonblocking Persistent Software Transactional Memory Alan Beadle, Wentao Cai, Haosen Wen and Michael Scott GPU-FPtuner: Mixed-precision Auto-tuning for Floating-point Applications on GPU Ruidong Gu and Michela Becchi Batched Small Tensor-Matrix Multiplications On GPUs Keke Zhai, Tania Banerjee, Adeesha Wijayasiri and Sanjay Ranka Temporal Based Intelligent LRU Cache Construction Pavan Nittur, Anuradha Kanukotla and Narendra Mutyala Boosting LSTM Performance Through Dynamic Precision Selection Franyell Silfa, Jose Maria Arnau and Antonio González

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CFP: The 21th IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing (CCGrid 2021)
by Bahman Javadi 27 Nov '20

27 Nov '20

============================================================================== The 21th IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing (CCGrid 2021) May 10-13, 2021, Melbourne, Victoria, Australia http://cloudbus.org/ccgrid2021/ Sponsored by: IEEE Computer Society / Technical Committee on Scalable Computing ACM SIGARCH Hosted/Organised by: * Cloud Computing and Distributed Systems (CLOUDS) Laboratory, The University of Melbourne, Australia * University of Illinois at Urbana-Champaign, USA * INRIA, France * Macquarie University, Australia * Rensselaer Polytechnic Institute, USA ============================================================================== Important Dates Paper Due (Abstract): 8 December 2020 Paper Due (Final submission) : 15 December 2020 Acceptance Notification: 8 February 2021 Camera Ready Papers Due: 3 March 2021 ============================================================================== Call For Papers The 21st IEEE/ACM international Symposium on Cluster, Cloud and Internet Computing (CCGrid 2021) 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 2021 conference. In 2021, IEEE/ACM CCGrid 2021 will be ‘self-colocated’ with its postponed 2020 edition, in Melbourne, Australia. We will jointly celebrate the 20th and 21st anniversary of the 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: 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. 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. Storage and I/O Systems: Distributed storage, cloud storage, Storage as a Service, data locality techniques for in-memory processing, storage in the edge. Programming Models and Runtime Systems: Programming models, languages, systems and tools/environments. Virtualization, containers, and middleware technologies. Actors, agents, programming decentralized computing systems. 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. Cyber-Security, Privacy and Resilient Distributed Systems: Distributed Systems security and trust. Access control. Data privacy and integrity. Regulation. Resiliency of service attacks. Sustainable and Green Computing: Environment friendly computing ecosystems. Hardware/software/application energy efficiency. Power, cooling and thermal awareness. Applications: Data Science, Artificial Intelligence, Machine Learning, Cyber-Physical Systems, e-Health, Internet of Things (IoT)-enabled Smart Systems and Applications. 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 rated Top 5 papers from the CCGrid 2021 conference will be invited for submission of extended version for publication in a special issue of the "Software: Practice and Experience" Journal published by Wiley Press. ------------------------ Chairs and Committees ------------------------ General Chairs: Rajkumar Buyya, University of Melbourne, Australia Gul Agha, University of Illinois at Urbana-Champaign, USA Program Committee Co-Chairs: Laurent Lefevre, INRIA, France Stacy Patterson, RPI, USA Young Choon Lee, Macquarie University, Australia Vice Chairs: Internet Computing Frontiers: Edge, Fog, Serverless, Lambda, Streaming Jesus Carretero, Univ Carlos 3, Madrid, Spain Weifa Liang, Australian National University, Australia Architecture, Networking, Data Centers Dhabaleswar K. Panda, Ohio State University, Columbus, USA Di Wu, Sun Yat-Sen University, China Storage, and I/O Systems Suren Byna, Lawrence Berkeley National Lab, USA Beomseok Nam, SungKyunKwan University, Korea Programming Models and Runtime Systems Cho-Li Wang, The University of Hong Kong Bahman Javadi, Western Sydney University, Australia Scheduling and Resource Management Eddy Caron, ENS Lyon, France Bingsheng He, National University of Singapore, Singapore Performance Modeling and Evaluation Hai Jin, Huazhong University of Science and Technology, China Alba Cristina Magalhaes, University of Brasilia, Brazil Cyber-Security and Privacy Miguel Correia, University of Lisbon, Portugal Surya Nepal, CSIRO, Australia Sustainable and Green Computing Patricia Stolf, IRIT, Toulouse, France Wu Feng, Virginia Tech, USA Applications: Data Science, Artificial Intelligence, Cyber-Physical Systems, etc. Paul Roe, QUT, Australia Susumu Date, Osaka University, Japan PC Members:: ============================================================ Young Choon Lee, Macquarie University, Australia Dhabaleswar Panda, The Ohio State University, USA Susumu Date, Osaka University, Japan Kazunori Nozaki, Osaka University, Japan Imdad Ullah, PSAU, Saudi Arabia Xingliang Yuan, Monash University, Australia Beomseok Nam, Sungkyunkwan University, Korea Surya Nepal, CSIRO, Australia Chunghan Lee, Toyota Motor Corporation, Japan Bahman Javadi, Western Sydney University, Australia Michela Taufer, The University of Tennessee, USA Issam Rais, UiT, Norway Daniel Balouek-Thomert, Rutgers University, USA Eddy Caron, ENS-Lyon, INRIA, France Yuuichi Teranishi, Osaka University, Japan Di Wu, Sun Yat-Sen University, China Hirotake Abe, University of Tsukuba, Japan Chonho Lee, Osaka University, Japan Stacy Patterson, Rensselaer Polytechnic Institute, USA Aravinda Rao, The University of Melbourne, Australia Wei Li, The University of Sydney, Australia Paul Roe, Queensland University of Technology, Australia Patricia Stolf, University of Toulouse, France Alba Cristina M. A. Melo, University of Brasilia (UnB), Brazil Wu-Chun Feng, Virginia Tech, USA Jesus Carretero, Universidad Carlos III de Madrid, Spain Mohammad Shojafar, University of Surrey, UK Qingye Jiang, Amazon Web Services, Australia Yu Zhang, Huazhong University of Science and Technology, China Quan Chen, Shanghai Jiao Tong University, China Feng Zhang, Renmin University of China, China Shixuan Sun, National University of Singapore, Singapore Zeyi Wen, The University of Western Australia, Australia Bingsheng He, National University of Singapore, Singapore Yong Chen, Texas Tech University, USA Miguel Correia, Universidade de Lisboa, Portugal C.L. Wang, The University of Hong Kong, China Sungjin Lee, DGIST (Daegu Gyeongbuk Institute of Science and Technology), Korea Diana Moise, Cray Inc., USA Houjun Tang, Lawrence Berkeley National Laboratory, USA Anthony Kougkas, Illinois Institute of Technology, USA Suren Byna, Lawrence Berkeley National Laboratory, USA Michael Kuhn, Otto von Guericke University Magdeburg, Germany Günther Pernul, Universität Regensburg, Germany Silvina Caíno-Lores, University of Tennessee, USA Helen Karatza, Aristotle University of Thessaloniki, Greece Xavier Martorell, Universitat Politècnica de Catalunya, Spain Laurent Lefevre, INRIA, France Valerio Schiavoni, University of Neuchâtel, Switzerland Weifa Liang, The Australian National University, Australia Rajkumar Buyya, The University of Melbourne, Australia Hai Jin, Huazhong University of Science and Technology, China Manish Parashar, Rutgers University, USA Nezer Zaidenberg, College of management academic studies, Israel Pedro Inácio, Universidade da Beira Interior, Portugal Vlad Tiberiu,INSA Lyon, France Cristina Alcaraz, UMA, Spain Nuno Santos, INESC-ID / Instituto Superior Tecnico, Portugal Ruediger Kapitza, TU Braunschweig, Germany Fabio Martinelli, IIT-CNR, Italy Paolo Mori, IIT-CNR, Italy Carlos Maziero, UFPR, Brazil André Zúquete, University of Aveiro, Portugal Ananth Kalyanaraman, Washington State University, USA Rong Ge, Clemson University, USA Jinjun Chen, Swinburne University of Technology, Australia Marcos Assuncao, Inria, France Qiang He, Swinburne University of Technology, Australia Ligang He, The University of Warwick, UK Deze Zeng, The University of Aizu, Japan Alfredo Goldman, University of São Paulo, Brazil Philippe Navaux, UFRGS, Brazil Xuanhua Shi, Huazhong University of Science and Technology, China Xiao Liu, Deakin University, Australia Weiguo Liu, Shandong University, China Song Wu, Huazhong University of Science and Technology, China Jidong Zhai, Tsinghua University, China Zichuan Xu, Dalian University of Technology, China Yinlong Xu, University of Science and Technology of China, China Qiufen Xia, Dalian University of Technology, China Rizos Sakellariou, The University of Manchester, UK Radu Prodan, University of Klagenfurt, Austria Wenzheng Xu, Sichuan University, China Domenico Talia, University of Calabria, Italy Jorge G. Barbosa, University of Porto, Portugal Sandra Gesing, University of Notre Dame, USA Thomas Fahringer, University of Innsbruck, Austria Shadi Ibrahim, Inria,France Rodrigo N. Calheiros, Western Sydney University, Australia Felix Garcia-Carballeira, University Carlos III of Madrid, Spain Bronis de Supinski, Lawrence Livermore National Laboratory, USA Amelie Chi Zhou, Shenzhen University, China Diana Goehringer, TU Dresden, Germany Georges Da Costa, IRIT/Toulouse III, France Carlos Westphall, Universidade Federal de Santa Catarina, Brazil Lei Liu, Shandong University, China Patrick P. C. Lee, The Chinese University of Hong Kong, China Edgar Gabriel, University of Houston, USA Jose Moreira, IBM, USA Ali Anwar, IBM, USA Kalyana Chadalavada, Intel, USA Julian Martin Kunkel, University of Reading, UK Preeti Malakar, Indian Institute of Technology Kanpur, India Dong Dai, UNC Charlotte, USA Bin Dong, Lawrence Berkeley National Laboratory, USA Alex Sim, Lawrence Berkeley National Laboratory, USA Anna Queralt, Barcelona Supercomputing Center, Spain Xiaoyi Lu, The Ohio State University, USA Philip Carns, Argonne National Laboratory, USA George Teodoro, University of Maryland, USA Jean-Marc Pierson, University of Toulouse, France Ioana Banicescu, Mississippi State University, USA Youngjae Kim, Sogang University, Korea Osamu Tatebe, University of Tsukuba, Japan Annette Bieniusa, University of Kaiserslautern, Germany Young-Ri Choi, UNIST, Korea Zhiling Lan, Illinois Institute of Technology, USA Robert Hsu, National Chung Cheng University, Taiwan Xiaowen Chu, Hong Kong Baptist University, China Cheng-Zhong Xu, University of Macau, China Weikuan Yu, Florida State University, USA Woongki Baek, UNIST, Korea Dongseong Kim, The University of Queensland, Australia Yanmin Zhu, Shanghai Jiao Tong University, China Maciej Malawski, AGH University of Science and Technology, Poland Jaejin Lee, Seoul National University, Korea Bing Bing Zhou, The University of Sydney, Australia Sangheon Pack, Korea University, Korea Haikun Liu, Huazhong University of Science and Technology, China Shuhao Zhang, TU Berlin, Germany Jiong He, Institute of High Performance Computing, Singapore Yao Chen, Advanced Digital Sciences Center, Singapore Pangfeng Liu, National Taiwan University, Taiwan Sheng Di, ANL, USA Jingling Xue, The University of New South Wales, Australia Giuliano Casale, Imperial College London, UK Ramin Yahyapour, GWDG - University of Göttingen, Germany Mohsen Amini Salehi, University of Louisiana Lafayette, USA Peng Li, The University of Aizu, Japan Paolo Trunfio, University of Calabria, Italy Lúcia Drummond, Fluminense Federal University, Brazil Massimo Villari, University of Messina, Italy Guangming Tan, Institute of Computing Technology,Chinese Academy of Sciences, China Lizhe Wang, China University of Geosciences, China Pascal Bouvry, University of Luxembourg, Luxembourg Azzedine Boukerche, University of Ottawa, Canada Javid Taheri, Karlstad University, Sweden Viktor Prasanna, University of Southern California, USA Jemal Abawajy, Deakin University, Australia Ashish Verma, IBM Research, USA Kimmy Mu, HDF group, USA Hyun-Wook Jin, Konkuk University, Korea Yongseok Son, Seoul National University, Korea Sebastien Lafond, Åbo Akademi University, Finland Demetris Trihinas, University of Nicosia, Cyprus Adrien Lèbre, Inria, France Mike Wittie, Montana State University, USA Jianfeng Zhan, Institute of Computing Technology, Chinese Academy of Sciences, China Hari Subramoni, The Ohio State University, USA Nectarios Koziris, National Technical University of Athens, Greece Devesh Tiwari, Northeastern University, USA Sunita Chandrasekaran, University of Delaware, USA Ryan E. Grant, Sandia National Laboratories, USA Douglas Thain, University of Notre Dame, USA Michela Becchi, North Carolina State University, USA Miao Hu, Sun Yat-sen University, China Abhinav Vishnu, AMD, USA Zhen Liu, Beijing Jiaotong University, China Tor Skeie, IFI/UIO, Norway Yogesh Simmhan, Indian Institute of Science, India Shinichi Yamagiwa, University of Tsukuba, Japan Gabriele Mencagli, University of Pisa, Italy Anne-Cécile Orgerie, CNRS, France Romain Rouvoy, Univ. Lille / Inria / IUF, France Graham Kirby, University of St Andrews, UK Shrisha Rao, International Institute of Information Technology - Bangalore, India Vignesh Adhinarayanan, AMD Research, USA Lei Yang, South China University of Technology, China Francois Tessier, ETH, Switzerland Hongyang Sun, Vanderbilt University, USA Felix Garcia-Carballeria, Universidad Carlos III de Madrid, Spain Shanika Karunasekera, The University of Melbourne, Australia Dimitrios Nikolopoulos, Virginia Tech, USA Wayne Kelly, Queensland University of Technology, Australia Tian Guo, Worcester Polytechnic Institute, USA Ian Atkinson, James Cook University, Australia Jason Haga, National Institute of Advanced Industrial Science and Technology (AIST), Japan Ousmane Thiare, Gaston Berger University, USA Heru Suhartanto, Universitas Indonesia, Indonesia Stefano Markidis, KTH Royal Institute of Technology, Sweden Frederic Suter, CC IN2P3 / CNRS, France Cedric Tedeschi, INRIA, France Carsten Trinitis, Technical University of Munich, Germany Christian Toinard, ENSI Bourges, France Barney Maccabe, Oak Ridge National Laboratory, USA Hidemoto Nakada, National Institute of Advanced Industrial Science and Technology (AIST), Japan Zahir Tari, RMIT University, Australia Ritu Arora, University of Texas (UT) at Austin, USA Mirjana Ivanovic, University of Novi Sad, Serbia Dongkyun Kim, KISTI, Korea Bu Sung Lee, Nanyang Technological University, Singapore Omer Rana, Cardiff University, UK Hyoungshick Kim, Sungkyunkwan University, Korea Shancang Li, University of the West of England, UK Vishwas Patil, IIT Bombay, India Shiva Raj Pokhrel, Deakin University, Australia Nitin Auluck, Indian Institute of Technology, Ropar, India Hagen Lauer, Fraunhofer SIT, Germany Yuan Hong, Illinois Institute of Technology, USA Raghunath Raja Chandrasekar, Amazon Web Services, USA Chai Kiat Yeo, Nanyang Technological University, Singapore Andrew Wendelborn, The University of Adelaide, Australia Schahram Dustdar, Vienna University of Technology, Austria Adel N. Toosi, Monash University, Australia Prapaporn Rattanatamrong, University of Florida, USA Daniel Sun, CSIRO, Australia Bruno Martin, Univ. Nice-Sophia Antipolis, France Julian Jang-Jaccard, Massey University, New Zealand ============================================================

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PDSEC 2021 Workshop - Call for Papers
by Shontz, Suzanne Michelle 20 Nov '20

20 Nov '20

(apologies for cross-postings) The 22nd IEEE International Workshop on Parallel and Distributed Scientific and Engineering Computing (PDSEC-21) (http://www.ieee-tcsc.org/2021/pdsec/) will be held on May 21, 2021 in Portland, Oregon in conjunction with IPDPS 2021. Given the pandemic, the conference organizers are planning for different potential scenarios, including a fully virtual conference. Deadline: PDSEC-21 deadline: 22 Jan 2021 (AoE) Scope and Interests: The technological trends in HPC system evolution indicates an increasing burden placed on application developers due to the management of the unprecedented complexity levels of hardware and its associated performance characteristics. Many existing scientific applications codes are unlikely to perform well on future systems without major modifications or even complete rewrites. In the future, it will be necessary to utilize, in concert, many characteristics such as multiple levels of parallelism, many lightweight cores, complex memory hierarchies, novel I/O technology, power capping, system-wide temporal/spatial performance heterogeneity and reliability concerns. The parallel and distributed computing (PDC) community has developed new programming models, algorithms, libraries and tools to meet these challenges in order to accommodate productive code development and effective system use. However, the scientific application community still needs to identify the benefit through practical evaluations. Thus, the focus of this workshop is on methodologies and experiences used in scientific and engineering applications and algorithms to achieve sustainable code development for better productivity, application performance and reliability. Important Dates: Paper submission due . . . . . . . . . . . . . . January 22, 2021 Notification of Acceptance . . . . . . . . . . . February 28, 2021 Final camera-ready paper . . . . . . . . . . . . March 13, 2021 Workshop . . . . . . . . . . . . . . . . . . . . May 21, 2021 General Chairs Raphael Couturier, University of Bourgogne Franche-Comte, France Peter Strazdins, The Australian National University, Australia Program Chairs Srishti Srivastava, University of Southern Indiana, USA Sabine Roller, University of Siegen, Germany Organizing Chair Neda Ebrahimi Pour, University of Siegen, Germany Publicity Chair Suzanne Shontz, University of Kansas, USA Steering Chairs Laurence T. Yang, St. Francis University, Canada Thomas Rauber, University of Bayreuth, Germany Gudula Runger, Chemnitz University of Technology, Germany Web Chair Yihong Chen, St. Francis Xavier University, Canada

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HPBench 2020 : Call for Demo Presentations
by Samar Aseeri 09 Nov '20

09 Nov '20

Call for Demos HPBench 2020 track http://hpcs2020.cisedu.info/2-conference/special-sessions/session02-hpbench about HPC Benchmarking & Optimization is calling for demo related participations. The conference is going online, therefore it is an opportunity to have your contribution recorded online. Demos usually go for 25-30 minutes. The Demos page on the web site has more info about demos. http://hpcs2020.cisedu.info/1-call-for-papers-and-participation/call-for-de…. Follow the submission guide in the page but mention in the email title that submission is for HPBench. The deadline for HPBench 2020 is 20 Nov. Best Regards -- Samar Aseeri, PhD Computational Scientist Extreme Computing Research Center (ECRC) Building 1 -Office: 0128 *King Abdullah University of Science & Technology* Thuwal, Saudi Arabia -- This message and its contents, including attachments are intended solely for the original recipient. If you are not the intended recipient or have received this message in error, please notify me immediately and delete this message from your computer system. Any unauthorized use or distribution is prohibited. Please consider the environment before printing this email.

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CFP: 19th Australasian Symposium on Parallel and Distributed Computing (AusPDC 2021)
by Bahman Javadi 09 Nov '20

09 Nov '20

*19th Australasian Symposium on Parallel and Distributed Computing (AusPDC 2021)* AusPDC 2021 will be held online in conjunction with Australasian Computer Science Week (ACSW) <http://www.acsw.org.au/>, 1 - 5 February 2021. *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 19th in 2021 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. A number of projects and initiatives are underway in both countries in these areas. There is a natural interest in tools which support collaboration and access to remote resources given the challenges of the countries location and sparse populations. Topics of interest for the symposium include (but not limited to): - 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 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 organisations, we encourage papers and participation from international researchers. *Paper Submission*The proceedings of the symposium will be published by ACM in conjunction with ACSW 2021. Papers should be formatted in double-column according to ACM conference paper formatting guidelines <https://www.acm.org/publications/taps/word-template-workflow> 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 2021 Easy Chair Submission Site <https://easychair.org/my/conference?conf=acsw2021>. 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. *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. *Committees:General Co-Chair*Rajkumar Buyya, University of Melbourne, Australia Bahman Javadi, Western Sydney University, Australia *Program Committee Chairs* Adel N. Toosi, Monash University, Australia Irene Moser, Swinburne University of Technology, 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 Conference Website: https://sites.google.com/monash.edu/auspdc2021/

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CALL FOR WORKSHOPS - 17th IEEE eScience Conference 2021
by Vella Flavio 08 Nov '20

08 Nov '20

---------------------------------------------------------- Call for Proposals for WORKSHOPS - Due March 15, 2021 https://escience2021.org/call-for-workshops ---------------------------------------------------------- 17th IEEE eScience Conference September 20-23, 2021 Innsbruck, Austria https://escience2021.org/ https://easychair.org/conferences/?conf=escience2021 ---------------------------------------------------------- CALL FOR WORKSHOPS ---------------------------------------------------------- The 17th IEEE eScience Conference will be held in Innsbruck, Austria on September 20-23, 2021. eScience 2021 welcomes proposals for workshops to be held with the main conference on Monday, September 20 and Thursday, September 23, 2021. The eScience conference has a long history of hosting broad and well-attended workshops broadly related to eScience and co-located with the main conference. These workshops share the goal of bringing together leading international and interdisciplinary research communities, developers, and users of eScience applications and enabling IT technologies. Workshops play a crucial role in the conference by providing an opportunity for researchers and practitioners to present their work in a more focused way than the conference itself, and to have in-depth discussions of particular topics of interest to the community. Workshops may be focused on any eScience-related topic including, but not limited to, interdisciplinary research, advanced cyberinfrastructure, data science, and education. eScience 2021 accepts two types of workshop proposals: workshops with peer-reviewed papers and proceedings, and workshops with invited talks and no proceedings. Workshops with peer-reviewed papers and proceedings: Workshop organizers are responsible for establishing a program committee, paper submission system, collecting and evaluating submissions, notifying authors of acceptance or rejection in due time, ensuring a transparent and fair selection process, organizing selected papers into sessions, and assigning session chairs. Proposals showing clear focus and objectives in areas of emerging or developing interest will be prioritized. The proceedings of the workshops will be included in the eScience 2021 proceedings to be published by the IEEE Computer Society Press, USA and made available online through the IEEE Digital Library if the following criteria will be followed: * The solicitation for papers must be open. * All the papers must be peer-reviewed by a qualified Program Committee. * The workshops Program Committee must have an appropriate size for expected number of submissions. * The workshop proceedings must have at least 4 papers (for a half-day workshop) or 6 papers (for a full-day workshop), at a length of at least 6 pages and no longer than 10 pages (including figure, tables, and citations) in the IEEE conference format. For each paper selected for publication, at least one of the authors must be registered to eScience 2021 to present the paper in person. Workshop proposals should be submitted per email to: escience2021-workshops(a)uibk.ac.at A proposal should be submitted as a single PDF file (up to 5 pages). The proposal should include this information: * Workshop name and acronym * Workshop description (including its focus and goals) (max. 500 words) * Workshop length (half-day, e.g. 3 hours plus breaks, or full-day, e.g., 6 hours plus breaks) * Names and affiliations of the organizers and tentative composition of the committees (we invite the authors of the proposal to consider a diverse group of organizers and committee members in terms of e.g., race/ethnicity, gender, geographic areas) * Expected number of submissions/accepted papers * Prior history of this workshop, if any Workshops with invited talks and no proceedings: Workshop organizers are responsible for inviting the speakers, establishing a program in due time, organizing the selected talks into sessions, and assigning session chairs. Proposals gathering experts in areas of emerging or developing interest will be prioritized. Each speaker must be registered to eScience 2021 to present in a session. Workshop proposals should be submitted per email to escience2021-workshops(a)uibk.ac.at A proposal should be submitted as a single PDF file (up to 5 pages). The proposal should include this information: * Workshop name and acronym * Workshop description (including its focus and goals) (max. 500 words) * Workshop length (half-day, e.g. 3 hours plus breaks, or full-day, e.g., 6 hours plus breaks) * Names and affiliations of the organizers (we invite the authors of the proposal to consider a diverse group of organizers in terms of e.g., race/ethnicity, gender, geographic areas) * Expected number of talks and their length * Tentative list of speakers (we invite the authors of the proposal to consider a diverse group of speakers in terms of e.g., race/ethnicity, gender, geographic areas) * Prior history of this workshop, if any Key Dates: * Workshop Submissions Due: Monday March 15, 2021 * Workshop Acceptance Notification: Tuesday March 30, 2021 * All Camera-ready Submissions Due (for workshops with peer-reviewed papers and proceedings): Thursday July 22, 2021 * Program with list of speakers (for workshops with invited talks and no proceedings): Thursday July 22, 2021 * Conference Dates: September 20-23, 2021 * Workshop Dates: September 20 and September 23, 2021 Contact information: Michela Taufer - taufer(a)utk.edu Flavio Vella - Flavio.Vella(a)unibz.it

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Call for Papers: ScalA@SC 2017 - Papers due August 28
by Engelmann, Christian 04 Nov '20

04 Nov '20

We apologize if you receive multiple copies of this notice. ----------------------------------------------------------------------------- ScalA’17: 8th Workshop on Latest Advances in Scalable Algorithms for Large-Scale Systems held in conjunction with the SC17: The International Conference on High Performance Computing, Networking, Storage and Analysis in cooperation with ACM SIGHPC November 13, 2017, Denver, CO, USA <http://www.csm.ornl.gov/srt/conferences/Scala/2017> 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. 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 not exceeding 8 letter size (8.5in x 11in) pages including figures, tables, and references using the ACM format for conference proceedings. Submissions not conforming to these guidelines may be returned without review. Reference style files are available at <http://www.acm.org/sigs/publications/proceedings-templates>. All manuscripts will be reviewed and judged on correctness, originality, technical strength, and significance, quality of presentation, and interest and relevance to the workshop 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. At least one author of an accepted paper must register for and attend the workshop. Authors may contact the workshop program chair for more information. Papers should be submitted electronically at: <https://easychair.org/conferences/?conf=scala17>. Full papers will be published with the SC'17 workshop proceedings in the ACM Digital Library and IEEE Xplore. Selected papers will be invited for an extended version in a special issue of the Journal of Computational Science (JoCS). Important Dates - Full paper submission: August 28, 2017 - Notification of acceptance: September 11, 2017 - Final paper submission (firm): October 9, 2017 - Workshop/conference early registration: TBD - Workshop: November 13, 2017 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 - Crosscutting approaches (system software and applications) in addressing scalability challenges - Scientific algorithms that can exploit extreme concurrency (e.g. 1 billion for exascale by 2020) - Naturally fault tolerant, self-healing, or fault oblivious scientific algorithms - Programming model and system software support for algorithm scalability and resilience Workshop Chairs - Vassil Alexandrov, Barcelona Supercomputing Center, Spain - Al Geist, Oak Ridge National Laboratory, USA - Jack Dongarra, University of Tennessee, Knoxville, USA Workshop Program Chair - Christian Engelmann, Oak Ridge National Laboratory, USA Program Committee - Vassil Alexandrov, Barcelona Supercomputing Center, Spain - Hartwig Anzt, University of Tennessee, Knoxville, USA - Rick Archibald, Oak Ridge National Laboratory, USA - Franck Cappello, Argonne National Laboratory and University of Illinois at Urbana Champaign, USA - Zizhong Chen, University of California, Riverside, USA - James Elliott, Sandia National Laboratories, USA - Nahid Emad, University of Versailles SQ, France - Christian Engelmann, Oak Ridge National Laboratory, USA - Wilfried Gansterer, University of Vienna, Austria - Michael Heroux, Sandia National Laboratories, USA - Kirk E. Jordan, IBM T.J. Watson Research, USA - Dieter Kranzlmueller, Ludwig-Maximilians-University Munich, Germany - Ignacio Laguna, Lawrence Livermore National Laboratory, USA - Piotr Luszczek, University of Tennessee, Knoxville, USA - Michael Mascagni, Florida State University, USA - Ron Perrot, University of Oxford, UK - Yves Robert, ENS Lyon, France - Stuart Slattery, Oak Ridge National Laboratory, USA - Keita Teranishi, Sandia National Laboratories, USA -- Christian Engelmann, Ph.D. R&D Staff Scientist Computer Science Research Group Computer Science and Mathematics Division Oak Ridge National Laboratory Mail: P.O. Box 2008, Oak Ridge, TN 37831-6173, USA Phone: +1 (865) 574-3132 / Fax: +1 (865) 576-5491 e-Mail: engelmannc(a)ornl.gov / Home: www.christian-engelmann.info

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Research Associate Position for 3 years, salary level E13, at Steinbuch Centre for Computing, Karlsruhe Institute of Technology
by ivan.kondov＠kit.edu 03 Nov '20

03 Nov '20

Dear colleagues, We have an open position in the new project “Virtual Research Environment for Materials Modeling and Data Analysis” of the Joint Lab “Virtual Materials Design” starting in January 2021. Workflow management, data analysis and visualization in materials science rely currently on generic tools and frameworks and general-purpose languages that require from domain researchers programming and command-line skills, and significant learning, development, validation and maintenance efforts. The main task is to devise a use-case driven domain specific language covering common objects and frequent tasks in computational materials science. This language should allow expressions covering selected use cases and abstract from knowledge of the underlying workflow models and data analysis tools. The new language is expected to increase productivity of domain scientists and enable rapid prototyping. In addition, language processors (interpreter or generator) and supporting tools have to be developed and integrated into an interactive platform (JupyterLab) together with established generic workflow management, data analysis and visualization tools. The successful candidate should have a master degree in computer science or a similar discipline and a very good knowledge of at least one programming language, preferably Python. Good programming and software engineering skills, knowledge of DSL frameworks, for example Xtext, textX or JetBrains MPS, and/or modeling frameworks (for example EMF or PyEcore) will be beneficial. We offer a unique interdisciplinary working environment to provide IT services and perform research under one roof and the opportunity for a career step toward computational science with focus on materials science. Applications and inquiries should be sent via email to Dr. Ivan Kondov (ivan.kondov(a)kit.edu). With my best regards, Ivan Kondov -- Karlsruhe Institute of Technology (KIT) Steinbuch Centre for Computing (SCC) Dr. Ivan Kondov Scientific Computing and Mathematics Hermann-von-Helmholtz-Platz 1 76344 Eggenstein-Leopoldshafen Germany Phone: +49 721 608 28644 Fax: +49 721 608 24972 Email: ivan.kondov(a)kit.edu Web: www.scc.kit.edu Registered office: Kaiserstraße 12, 76131 Karlsruhe, Germany KIT – The Research University in the Helmholtz Association

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Call for Abstracts for the workshop: Multi-scale, Multi-physics and Coupled Problems on Highly Parallel Systems (MMCP) at HPC Asia 2021
by Ebrahimi Pour, Neda 03 Nov '20

03 Nov '20

Call for Abstract contribution - Deadline extension Submission deadline: 13th of November 2020 (extended) Workshop on Multi-scale, Multi-physics and Coupled Problems on Highly Parallel Systems (MMCP) at HPC Asia 2021, January 20-22, Jeju, South Korea This workshop will provide a platform for presentations and discussions on advances in numerical simulation for complex multi-scale, multi-physics and coupled problems. The goal of the workshop is to gather researchers (computer scientists, engineers, mathematicians, physicists, chemists, biologists, material sciences etc.) working on different disciplines but all facing challenges in multi-scale and multi-physics as well as coupled simulations on HPC systems. This workshop is the second event in the series; the first was held at HPCAsia 2020, in Fukuoka, Japan. The main focus will be set on computational issues regarding performance and suitability for high-performance computing. Furthermore, the underlying strategies to enable these simulations will be highlighted. Keeping these aims in mind, contributions from all aspects of engineering applications will be considered. Topics of applications will include (but not be limited to): - Multi-scale problems - Multi-physics problems - Molecular dynamics - Multi-domain/Concurrency - Multi-scale and/or multi-physics modelling for biomedical or biological systems - Novel approaches to combine different scales and physics models in one problem solution - Challenging applications in industry and academia, e.g. multiphase flows, fluid-structure interactions, chemical engineering, material science, biophysics, automotive industry, etc. - Load balancing - Adaptivity - Heterogeneous architectures - New algorithms for parallel-distributed computing, specific to this topic. More information about this workshop and the submission procedure can be found on our webpage: https://www.mb.uni-siegen.de/sts/workshops/mmcp2021/ If you have further questions, do not hesitate to contact us. We are looking forward to your contribution! Organizers: Neda Ebrahimi Pour Osni Marques Sabine Roller

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computational.science November 2020