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Titlebook: Supercomputing; 29th International C Julian Martin Kunkel,Thomas Ludwig,Hans Werner Meu Conference proceedings 2014 Springer International

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书目名称Supercomputing
副标题29th International C
编辑Julian Martin Kunkel,Thomas Ludwig,Hans Werner Meu
视频video
丛书名称Lecture Notes in Computer Science
图书封面Titlebook: Supercomputing; 29th International C Julian Martin Kunkel,Thomas Ludwig,Hans Werner Meu Conference proceedings 2014 Springer International
描述.This book constitutes the refereed proceedings of the 29th International Supercomputing Conference, ISC 2014, held in Leipzig, Germany, in June 2014..The 34 revised full papers presented together were carefully reviewed and selected from 79 submissions. The papers cover the following topics: scalable applications with 50K+ cores; advances in algorithms; scientific libraries; programming models; architectures; performance models and analysis; automatic performance optimization; parallel I/O and energy efficiency..
出版日期Conference proceedings 2014
关键词GPU; algorithms; concurrency; energy effiency; exascale supercomputers; high-performance computing; many-c
版次1
doihttps://doi.org/10.1007/978-3-319-07518-1
isbn_softcover978-3-319-07517-4
isbn_ebook978-3-319-07518-1Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer International Publishing Switzerland 2014
The information of publication is updating

书目名称Supercomputing影响因子(影响力)




书目名称Supercomputing影响因子(影响力)学科排名




书目名称Supercomputing网络公开度




书目名称Supercomputing网络公开度学科排名




书目名称Supercomputing被引频次




书目名称Supercomputing被引频次学科排名




书目名称Supercomputing年度引用




书目名称Supercomputing年度引用学科排名




书目名称Supercomputing读者反馈




书目名称Supercomputing读者反馈学科排名




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Exascale Radio Astronomy: Can We Ride the Technology Wave? and analyzing signals from 262,144 antennas and 350 dishes at a raw datarate of petabits per second. The processing pipeline to create useful astronomical data will require exa-operations per second, at a very limited power budget. We analyze the compute, memory and bandwidth requirements for the k
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Sparsifying Synchronization for High-Performance Shared-Memory Sparse Triangular Solvercreases in the number of cores and vector width. Modern CMPs execute from several hundreds to several thousands concurrent operations per second, while their memory subsystem delivers from tens to hundreds Giga-bytes per second bandwidth..Taking advantage of these parallel resources requires highly
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