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Titlebook: High Performance Computing Systems. Performance Modeling, Benchmarking, and Simulation; 8th International Wo Stephen Jarvis,Steven Wright,S

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發(fā)表于 2025-3-21 19:35:51 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱High Performance Computing Systems. Performance Modeling, Benchmarking, and Simulation
副標題8th International Wo
編輯Stephen Jarvis,Steven Wright,Simon Hammond
視頻videohttp://file.papertrans.cn/427/426328/426328.mp4
概述Includes supplementary material:
叢書名稱Lecture Notes in Computer Science
圖書封面Titlebook: High Performance Computing Systems. Performance Modeling, Benchmarking, and Simulation; 8th International Wo Stephen Jarvis,Steven Wright,S
描述This book constitutes the refereed proceedings papers from the 8th International Workshop on Performance Modeling, Benchmarking and Simulation of High Performance Computing Systems, PMBS 2017, held in Denver, Colorado, USA, in November 2017. .The 10 full papers and 3 short papers included in this volume were carefully reviewed and selected from 36 submissions. They were organized in topical sections named: performance evaluation and analysis; performance modeling and simulation; and short papers.?.
出版日期Conference proceedings 2018
關鍵詞bandwidth; computer architecture; computer networks; computer systems; computing systems; CUDA; gpu; hardwa
版次1
doihttps://doi.org/10.1007/978-3-319-72971-8
isbn_softcover978-3-319-72970-1
isbn_ebook978-3-319-72971-8Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer International Publishing AG 2018
The information of publication is updating

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Stephen Jarvis,Steven Wright,Simon HammondIncludes supplementary material:
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Lecture Notes in Computer Sciencehttp://image.papertrans.cn/h/image/426328.jpg
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Periodic I/O Scheduling for Super-Computersntegrated into current job schedulers. We validate this model through extensive simulations and experiments by comparing it to state-of-the-art online solutions..Specifically, we show that not only our scheduler has the advantage of being de-centralized, thus overcoming the overhead of online schedu
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Modeling Large Compute Nodes with?Heterogeneous Memories with?Cache-Aware Roofline Modelarge shared memory systems with the CARM. We provide the methodology to instantiate, and validate the model on a NUMA system as well as on the latest Xeon Phi processor equiped with configurable hybrid memory. Finally, we show the model ability to exhibits several bottlenecks of such systems, which
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