gingerly
发表于 2025-3-21 18:04:11
书目名称OpenMP: Advanced Task-Based, Device and Compiler Programming影响因子(影响力)<br> http://impactfactor.cn/if/?ISSN=BK0701924<br><br> <br><br>书目名称OpenMP: Advanced Task-Based, Device and Compiler Programming影响因子(影响力)学科排名<br> http://impactfactor.cn/ifr/?ISSN=BK0701924<br><br> <br><br>书目名称OpenMP: Advanced Task-Based, Device and Compiler Programming网络公开度<br> http://impactfactor.cn/at/?ISSN=BK0701924<br><br> <br><br>书目名称OpenMP: Advanced Task-Based, Device and Compiler Programming网络公开度学科排名<br> http://impactfactor.cn/atr/?ISSN=BK0701924<br><br> <br><br>书目名称OpenMP: Advanced Task-Based, Device and Compiler Programming被引频次<br> http://impactfactor.cn/tc/?ISSN=BK0701924<br><br> <br><br>书目名称OpenMP: Advanced Task-Based, Device and Compiler Programming被引频次学科排名<br> http://impactfactor.cn/tcr/?ISSN=BK0701924<br><br> <br><br>书目名称OpenMP: Advanced Task-Based, Device and Compiler Programming年度引用<br> http://impactfactor.cn/ii/?ISSN=BK0701924<br><br> <br><br>书目名称OpenMP: Advanced Task-Based, Device and Compiler Programming年度引用学科排名<br> http://impactfactor.cn/iir/?ISSN=BK0701924<br><br> <br><br>书目名称OpenMP: Advanced Task-Based, Device and Compiler Programming读者反馈<br> http://impactfactor.cn/5y/?ISSN=BK0701924<br><br> <br><br>书目名称OpenMP: Advanced Task-Based, Device and Compiler Programming读者反馈学科排名<br> http://impactfactor.cn/5yr/?ISSN=BK0701924<br><br> <br><br>
高射炮
发表于 2025-3-22 00:15:42
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magnanimity
发表于 2025-3-22 00:31:34
How to Efficiently Parallelize Irregular DOACROSS Loops Using Fine Granularity and OpenMP Tasks: The, this paper proposes new constructs (. and .) and speculative dependency-types (., ., and .). An initial evaluation using different implementations to parallelize the . hottest loop shows that it is possible to achieve speed-ups of up to . with respect to the . version using Speculative Task Execut
骨
发表于 2025-3-22 06:24:21
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系列
发表于 2025-3-22 11:20:51
Improving a Multigrid Poisson Solver with Peer-to-Peer Communication and Task Dependencieslts are presented for two high-performance computing systems with NVIDIA and AMD accelerators. We use four NVIDIA Tesla GV100 general-purpose graphics processing units to achieve a parallel efficiency of 94 percent for a solver based on V-cycles with seven multigrid levels.
Recessive
发表于 2025-3-22 14:18:11
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痛苦一生
发表于 2025-3-22 19:52:37
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heterodox
发表于 2025-3-23 00:40:17
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排斥
发表于 2025-3-23 04:32:55
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lethargy
发表于 2025-3-23 09:36:33
n unsere beiden Maler in privaten Haushalten auch Arbeit auf eigene Rechnung, selbstverständlich ebenfalls nur gegen Barzahlung. Das Material beschafften sie zum Teil selbst bei ihrem ehemaligen offiziellen und jetzt in zahlreichen Fällen informellen Arbeitgeber, zum Teil kauften es die Kunden auf A