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首頁> 外文OA文獻(xiàn) >The Productivity, Portability and Performance of OpenMP 4.5 for Scientific Applications Targeting Intel CPUs, IBM CPUs, and NVIDIA GPUs
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The Productivity, Portability and Performance of OpenMP 4.5 for Scientific Applications Targeting Intel CPUs, IBM CPUs, and NVIDIA GPUs

機(jī)譯：適用于針對Intel CPU，IBM CPU和NVIDIA GPU的科學(xué)應(yīng)用的OpenMP 4.5的生產(chǎn)率，可移植性和性能

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摘要

This research considers the productivity, portability, and performance offered by the OpenMP parallel programming model, from the perspective of scientific applications. We discuss important considerations for scientific application developers tackling large software projects with OpenMP, including straightforward code mechanisms to improve productivity and portability. Performance results are presented across multiple modern HPC devices, including Intel Xeon, and Xeon Phi CPUs, POWER8 CPUs, and NVIDIA GPUs. The results are collected for three exemplar applications: hydrodynamics, heat conduction and neutral particle transport, using modern compilers with OpenMP support. The results show that while current OpenMP implementations are able to achieve good performance on the breadth of modern hardware for memory bandwidth bound applications, our memory latency bound application performs less consistently.
機(jī)譯：這項(xiàng)研究從科學(xué)應(yīng)用的角度考慮了OpenMP并行編程模型提供的生產(chǎn)率，可移植性和性能。我們討論了使用OpenMP解決大型軟件項(xiàng)目的科學(xué)應(yīng)用程序開發(fā)人員的重要考慮因素，包括提高生產(chǎn)率和可移植性的簡單代碼機(jī)制。在多個(gè)現(xiàn)代HPC設(shè)備（包括Intel Xeon和Xeon Phi CPU，POWER8 CPU和NVIDIA GPU）上顯示了性能結(jié)果。使用支持OpenMP的現(xiàn)代編譯器，為三個(gè)示例應(yīng)用程序收集了結(jié)果：流體動力學(xué)，導(dǎo)熱和中性粒子傳輸。結(jié)果表明，盡管當(dāng)前的OpenMP實(shí)現(xiàn)能夠在現(xiàn)代硬件的廣度上為內(nèi)存帶寬綁定的應(yīng)用程序?qū)崿F(xiàn)良好的性能，但我們的內(nèi)存延遲綁定應(yīng)用程序的性能卻不一致。

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