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Titlebook: OpenMP: Enabling Massive Node-Level Parallelism; 17th International W Simon McIntosh-Smith,Bronis R. de Supinski,Jannis Conference proceed

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書(shū)目名稱(chēng)OpenMP: Enabling Massive Node-Level Parallelism
副標(biāo)題17th International W
編輯Simon McIntosh-Smith,Bronis R. de Supinski,Jannis
視頻videohttp://file.papertrans.cn/702/701926/701926.mp4
叢書(shū)名稱(chēng)Lecture Notes in Computer Science
圖書(shū)封面Titlebook: OpenMP: Enabling Massive Node-Level Parallelism; 17th International W Simon McIntosh-Smith,Bronis R. de Supinski,Jannis  Conference proceed
描述.This book constitutes the proceedings of the 17th International Workshop on OpenMP, IWOMP 2021, held virtually in September 2021 and hosted by the High Performance Computing research group at the University of Bristol, UK..The 15 full papers presented in this volume were carefully reviewed and selected for inclusion in this book. The papers are organized in topical sections named: synchronization and data; tasking expansions; applications; case studies; and heterogenous computing and memory...Chapter ‘FOTV: A Generic Device Offloading Framework for OpenMP’ is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com..
出版日期Conference proceedings 2021
關(guān)鍵詞computer programming; distributed computer systems; embedded systems; field programmable gate array; fpg
版次1
doihttps://doi.org/10.1007/978-3-030-85262-7
isbn_softcover978-3-030-85261-0
isbn_ebook978-3-030-85262-7Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer Nature Switzerland AG 2021
The information of publication is updating

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沙發(fā)
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Conference proceedings 2021studies; and heterogenous computing and memory...Chapter ‘FOTV: A Generic Device Offloading Framework for OpenMP’ is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com..
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Improving Speculative , in?Hardware Transactional Memoryor STL revealing that, for certain loops, infinite slowdowns (deadlocks) using the original OpenMP runtime can be transformed in speed-ups by applying . scheduling. The experimental results show the performance improvement of STL using the modified version of the runtime, reaching speed-ups of up?to 2.18..
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發(fā)表于 2025-3-22 22:26:38 | 只看該作者
An Empirical Investigation of OpenMP Based Implementation of Simplex Algorithmr proposed parallel algorithm scales well over a range of matrix densities. We also make an important observation that the effect of increasing the number of constraints is more significant than the effect of varying the number of variables.
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發(fā)表于 2025-3-23 04:46:54 | 只看該作者
A Case Study of LLVM-Based Analysis for Optimizing SIMD Code Generationes were used to achieve optimal performance. By applying these code changes, code speed was increased by 1.98. and 78 GFlops were achieved on the A64FX processor. The authors aim to automatize parts of the efforts in the OpenMP Advisor tool, which is built on top of existing and newly introduced LLVM tooling.
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發(fā)表于 2025-3-23 06:50:53 | 只看該作者
Task Inefficiency Patterns for a Wave Equation Solvernt architectures and runtimes. We describe several task-scheduling flaws present in currently available runtimes, demonstrate how they impact performance and show how to work around them. Finally, we propose extensions to the OpenMP standard.
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