supplementary 发表于 2025-3-21 18:54:31

书目名称OpenMP: Heterogenous Execution and Data Movements影响因子(影响力)<br>        http://impactfactor.cn/if/?ISSN=BK0701927<br><br>        <br><br>书目名称OpenMP: Heterogenous Execution and Data Movements影响因子(影响力)学科排名<br>        http://impactfactor.cn/ifr/?ISSN=BK0701927<br><br>        <br><br>书目名称OpenMP: Heterogenous Execution and Data Movements网络公开度<br>        http://impactfactor.cn/at/?ISSN=BK0701927<br><br>        <br><br>书目名称OpenMP: Heterogenous Execution and Data Movements网络公开度学科排名<br>        http://impactfactor.cn/atr/?ISSN=BK0701927<br><br>        <br><br>书目名称OpenMP: Heterogenous Execution and Data Movements被引频次<br>        http://impactfactor.cn/tc/?ISSN=BK0701927<br><br>        <br><br>书目名称OpenMP: Heterogenous Execution and Data Movements被引频次学科排名<br>        http://impactfactor.cn/tcr/?ISSN=BK0701927<br><br>        <br><br>书目名称OpenMP: Heterogenous Execution and Data Movements年度引用<br>        http://impactfactor.cn/ii/?ISSN=BK0701927<br><br>        <br><br>书目名称OpenMP: Heterogenous Execution and Data Movements年度引用学科排名<br>        http://impactfactor.cn/iir/?ISSN=BK0701927<br><br>        <br><br>书目名称OpenMP: Heterogenous Execution and Data Movements读者反馈<br>        http://impactfactor.cn/5y/?ISSN=BK0701927<br><br>        <br><br>书目名称OpenMP: Heterogenous Execution and Data Movements读者反馈学科排名<br>        http://impactfactor.cn/5yr/?ISSN=BK0701927<br><br>        <br><br>

欺骗世家 发表于 2025-3-21 20:28:18

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Dysarthria 发表于 2025-3-22 01:32:27

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吃掉 发表于 2025-3-22 04:59:30

Experiences of Using the OpenMP Accelerator Model to Port DOE Stencil Applicationsator model provides a set of directives for users to specify semantics related to accelerators so that compilers and runtime systems can automatically handle repetitive and error-prone accelerator programming tasks, including code transformations, work scheduling, data management, reduction, and so

发酵剂 发表于 2025-3-22 11:51:02

False Sharing Detection in OpenMP Applications Using OMPT APIfalse sharing can be turned on and off. We run these programs both with and without false sharing and collect a set of hardware performance event counts using OMPT. We use the collected data to train a binary classifier. We test the trained classifier using the NAS Parallel Benchmark applications. O

integrated 发表于 2025-3-22 13:35:50

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BLANK 发表于 2025-3-22 19:34:45

Markus Joppich,Dirk Schmidl,Anthony M. Bolger,Torsten Kuhlen,Björn Usadel

裂口 发表于 2025-3-22 21:15:08

Arpith C. Jacob,Ravi Nair,Alexandre E. Eichenberger,Samuel F. Antao,Carlo Bertolli,Tong Chen,Zehra S

逗留 发表于 2025-3-23 03:16:37

Joachim Protze,Ignacio Laguna,Dong H. Ahn,John Del Signore,Ariel Burton,Martin Schulz,Matthias S. Mü

Fracture 发表于 2025-3-23 05:38:39

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