High Performance Computing: ISC High Performance 2019 International Workshops, Frankfurt, Germany, June 16-20, 2019, Revised Selected Papers
This book constitutes the refereed post-conference proceedings of 13 workshops held at the 34th International ISC High Performance 2019 Conference, in Frankfurt, Germany, in June 2019: HPC I/O in the Data Center (HPC-IODC), Workshop on Performance & Scalability of Storage Systems (WOPSSS), Workshop on Performance & Scalability of Storage Systems (WOPSSS), 13th Workshop on Virtualization in High-Performance Cloud Computing (VHPC '18), 3rd International Workshop on In Situ Visualization: Introduction and Applications, ExaComm: Fourth International Workshop on Communication Architectures for HPC, Big Data, Deep Learning and Clouds at Extreme Scale, International Workshop on OpenPOWER for HPC (IWOPH18), IXPUG Workshop: Many-core Computing on Intel, Processors: Applications, Performance and Best-Practice Solutions, Workshop on Sustainable Ultrascale Computing Systems, Approximate and Transprecision Computing on Emerging Technologies (ATCET), First Workshop on the Convergence of Large Scale Simulation and Artificial Intelligence, 3rd Workshop for Open Source Supercomputing (OpenSuCo), First Workshop on Interactive High-Performance Computing, Workshop on Performance Portable Programming Models for Accelerators (P^3MA). The 48 full papers included in this volume were carefully reviewed and selected. They cover all aspects of research, development, and application of large-scale, high performance experimental and commercial systems. Topics include HPC computer architecture and hardware; programming models, system software, and applications; solutions for heterogeneity, reliability, power efficiency of systems; virtualization and containerized environments; big data and cloud computing; and artificial intelligence.This book constitutes the refereed post-conference proceedings of 13 workshops held at the 34th International ISC High Performance 2019 Conference, in Frankfurt, Germany, in June 2019: HPC I/O in the Data Center (HPC-IODC), Workshop on Performance & Scalability of Storage Systems (WOPSSS), Workshop on Performance & Scalability of Storage Systems (WOPSSS), 13th Workshop on Virtualization in High-Performance Cloud Computing (VHPC '18), 3rd International Workshop on In Situ Visualization: Introduction and Applications, ExaComm: Fourth International Workshop on Communication Architectures for HPC, Big Data, Deep Learning and Clouds at Extreme Scale, International Workshop on OpenPOWER for HPC (IWOPH18), IXPUG Workshop: Many-core Computing on Intel, Processors: Applications, Performance and Best-Practice Solutions, Workshop on Sustainable Ultrascale Computing Systems, Approximate and Transprecision Computing on Emerging Technologies (ATCET), First Workshop on the Convergence of Large Scale Simulation and Artificial Intelligence, 3rd Workshop for Open Source Supercomputing (OpenSuCo), First Workshop on Interactive High-Performance Computing, Workshop on Performance Portable Programming Models for Accelerators (P^3MA). The 48 full papers included in this volume were carefully reviewed and selected. They cover all aspects of research, development, and application of large-scale, high performance experimental and commercial systems. Topics include HPC computer architecture and hardware; programming models, system software, and applications; solutions for heterogeneity, reliability, power efficiency of systems; virtualization and containerized environments; big data and cloud computing; and artificial intelligence.
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Description of High Performance Computing: ISC High Performance 2019 International Workshops, Frankfurt, Germany, June 16-20, 2019, Revised Selected Papers
This book constitutes the refereed post-conference proceedings of 13 workshops held at the 34th International ISC High Performance 2019 Conference, in Frankfurt, Germany, in June 2019: HPC I/O in the
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Publication
Publish Date
2019 Jun 20
ISBN
978-3-030-34356-9
About the authors
I joined EPCC in 2006 after studies in Medical Informatics (University of Heidelberg) and Computing (Napier University), and completing a PhD in Music & Artificial Intelligence at the University of Edinburgh. My main research interests are in the fields of energy efficiency in HPC, software performance analysis and novel programming models.
Michèle Weiland(editor)
Guido Juckeland is head of the Computational Science Group, Department for Information Services and Computing, Helmholtz-Zentrum Dresden-Rossendorf, and coordinates the work of the GPU Center of Excellence at Dresden. He also represents HZDR at the SPEC High Performance Group and OpenACC committee.
Guido Juckeland(editor)
Organisation: Swiss National Supercomputing Centre (CSCS) - ETH Zurich Professional Title: Chief Technology Officer (CTO) Sadaf R. Alam is Chief Technology Officer (CTO) at the Swiss National Supercomputing Centre (CSCS) in Lugano, Switzerland. Dr. Alam studied computer science at the University of Edinburgh, UK, where she received her Ph.D. in 2004. Until March 2009, she was a computer scientist at the Oak Ridge National Laboratory, USA. In her role as the CTO, she ensures end-to-end integrity of HPC systems and storage solutions and leads strategic projects at the centre. She has held different roles at CSCS including group lead of future systems, chief architect and head of operations. She is a member of ACM, ACM-W, SIGHPC and Women in HPC.
Sadaf Alam(editor)
Heike Jagode is a Research Assistant Professor in the Innovative Computing Laboratory (ICL), and an Adjunct Assistant Professor in the Department of Electrical Engineering and Computer Science (EECS), in the Tickle College of Engineering, at the University of Tennessee - Knoxville (UTK). She specializes in High Performance Computing (HPC) and the efficient use of advanced computer architectures; focusing primarily on developing methods and tools for performance analysis, tuning, and efficient energy use of parallel scientific applications. Heike's Ph.D. research focused on a multi-disciplinary effort to develop Dataflow Programming Paradigms for Computational Chemistry Methods to make these methods compatible with next-generation task scheduling systems like StarPU or PaRSEC. In her research, she converted the state-of-the-art NWChem Coupled Cluster methods into different dataflow versions and demonstrated the benefits of dataflow-based task execution over coarse grain parallelism in terms of scalability, resource utilization, and programmability. Education: Doctor of Philosophy (Ph.D.) in Computer Science, University of Tennessee, Knoxville, USA Master of Science (M.Sc.) in High Performance Computing, University of Edinburgh, EPCC, Scotland, UK Master of Science (M.Sc.) in Applied Techno-Mathematics, University of Applied Sciences Mittweida, Germany Bachelor of Science (B.Sc.) in Applied Mathematics, University of Applied Sciences Mittweida, Germany
Heike Jagode(editor)
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Artificial Intelligencecloud computingcomputer architectureField Programmable Gate Array (FPGA)FPGAHigh-Performance Computing (HPC)image processinglearning algorithmslogic gatesMachine learningmetadataneural networksparallel programmingparallelizationssemanticsSoftware Engineeringsoftware evaluationwireless networkswireless sensor networkswireless telecommunication systems
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