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派博传思国际中心 »期刊书目

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Titlebook: Euro-Par 2024: Parallel Processing; 30th European Confer Jesus Carretero,Sameer Shende,Martin Schreiber Conference proceedings 2024 The Edi

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发表于 2025-3-21 16:10:02 | 显示全部楼层 |阅读模式
书目名称Euro-Par 2024: Parallel Processing
副标题30th European Confer
编辑Jesus Carretero,Sameer Shende,Martin Schreiber
视频videohttp://file.papertrans.cn/321/320756/320756.mp4
丛书名称Lecture Notes in Computer Science
图书封面Titlebook: Euro-Par 2024: Parallel Processing; 30th European Confer Jesus Carretero,Sameer Shende,Martin Schreiber Conference proceedings 2024 The Edi
描述.The three-volume set LNCS 14801, 14802, and 14803 constitutes the proceedings of the 30th European Conference on Parallel and Distributed Processing, Euro-Par 2024, which took place in Madrid, Spain, during August 26–30, 2024...The 88 full papers included in the proceedings were carefully reviewed and selected from 293 submissions. They were organized in topical sections as follows:..Part I: Programming, compilers, and performance; scheduling, resource management, cloud, edge computing, and workflows; ..Part II: Architectures and accelerators; data analytics, AI and computational science; ..Part III: Theory and algorithms; multidisciplinary, domain-specific and applied parallel and distributed computing..
出版日期Conference proceedings 2024
关键词parallel and distributed computing; programming; compilers; performance; scheduling; resource management;
版次1
doihttps://doi.org/10.1007/978-3-031-69583-4
isbn_softcover978-3-031-69582-7
isbn_ebook978-3-031-69583-4Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

书目名称Euro-Par 2024: Parallel Processing影响因子(影响力)




书目名称Euro-Par 2024: Parallel Processing影响因子(影响力)学科排名




书目名称Euro-Par 2024: Parallel Processing网络公开度




书目名称Euro-Par 2024: Parallel Processing网络公开度学科排名




书目名称Euro-Par 2024: Parallel Processing被引频次




书目名称Euro-Par 2024: Parallel Processing被引频次学科排名




书目名称Euro-Par 2024: Parallel Processing年度引用




书目名称Euro-Par 2024: Parallel Processing年度引用学科排名




书目名称Euro-Par 2024: Parallel Processing读者反馈




书目名称Euro-Par 2024: Parallel Processing读者反馈学科排名




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Mixed Precision Randomized Low-Rank Approximation with GPU Tensor Coresdomized LRA entirely in fp32 arithmetic, which achieves an average accuracy of order .. Our results show that our approach without refinement is up to . faster, with an average accuracy of order ., which may be acceptable for some applications. Otherwise, we show that using refinement significantly
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A Fast Wait-Free Solution to Read-Reclaim Races in Reference Countingcase, linear with respect to the number of threads that actually work with the variable. Our algorithm is based on the . technique, which is used in production but is only lock-free. We re-explain this technique as a special case of weighted reference counting, to arrive at a simpler explanation of
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ALZI: An Improved Parallel Algorithm for Finding Connected Components in Large Graphshow that ALZI is 1.4–2.3 times faster than Afforest on these graphs and provides better scalability than Afforest. ALZI has the ability to work with very large graphs. On a Kronecker graph with 4.2 billion edges, ALZI can find the connected components in just 1.02 s using 128 processors.
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