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Titlebook: High Performance Computing; ISC High Performance Julian M. Kunkel,Rio Yokota,John Shalf Conference proceedings 2017 Springer International

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书目名称High Performance Computing
副标题ISC High Performance
编辑Julian M. Kunkel,Rio Yokota,John Shalf
视频video
概述Includes supplementary material:
丛书名称Lecture Notes in Computer Science
图书封面Titlebook: High Performance Computing; ISC High Performance Julian M. Kunkel,Rio Yokota,John Shalf Conference proceedings 2017 Springer International
描述This book constitutes revised selected papers from 10 workshops that wereheld as the ISC High Performance 2017 conference inFrankfurt, Germany, in June 2017. . The 59 papers presented in thisvolume were carefully reviewed and selected for inclusion in this book.They stem from the following workshops: .Workshop on Virtualization in High-Performance Cloud Computing (VHPC).Visualization at Scale: Deployment Case Studies and Experience Reports.International Workshop on Performance Portable Programming Models for Accelerators (P^3MA).OpenPOWER for HPC (IWOPH).International Workshop on Data Reduction for Big Scientific Data (DRBSD).International Workshop on Communication Architectures for HPC, Big Data, Deep Learning and  Clouds at Extreme Scale.Workshop on HPC Computing in a Post Moore‘s Law World (HCPM).HPC I/O in the Data Center ( HPC-IODC) .Workshop on Performance and Scalability of Storage  Systems (WOPSSS).IXPUG: Experiences on Intel Knights Landing at the One Year Mark.International Workshop on Communication Architectures for HPC, Big Data, Deep Learning and Clouds at Extreme Scale (ExaComm).
出版日期Conference proceedings 2017
关键词computer architecture; processors; semantics; programming languages; parallel programming; microprocessor
版次1
doihttps://doi.org/10.1007/978-3-319-67630-2
isbn_softcover978-3-319-67629-6
isbn_ebook978-3-319-67630-2Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer International Publishing AG 2017
The information of publication is updating

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Toward a Multi-method Approach: Lossy Data Compression for Climate Simulation Data use of lossy data compression on model output can reduce storage costs and data transmission overheads, but care must be taken to ensure that science results are not impacted. Choosing appropriate compression algorithms and parameters is not trivial given the diversity of data produced by ESMs and
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Exploration of Pattern-Matching Techniques for Lossy Compression on Cosmology Simulation Data Setsignificantly reduce the data size and the I/O burden. However, for large-scale cosmology simulation, such as the Hardware/Hybrid Accelerated Cosmology Code (HACC), where memory overhead constraints restrict compression to only one snapshot at a time, the lossy compression ratio is extremely limited
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Design Space Exploration of the Dragonfly TopologyDragonfly topology can be described with two main parameters, . and ., dictating the distribution of routers in groups, and the inter-group connectivity, respectively. We then introduce an algorithm that generates a dragonfly topology by taking the desired number of end-points and these two paramete
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Instruction Set Architectures for Quantum Processing Unitsnal workflows. We briefly describe several prominent quantum computational models, their associated quantum processing units (QPUs), and the adoption of these devices as accelerators within high-performance computing systems. Emphasizing the interface to the QPU, we analyze instruction set architect
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Towards an Integrated Strategy to Preserve Digital Computing Performance Scaling Using Emerging Techequired to preserve Moore’s law technology scaling. Numerous emerging technologies aim to extend digital electronics scaling of performance, energy efficiency, and computational power/density, ranging from devices (transistors), memories, 3D integration capabilities, specialized architectures, photo
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