HPSM: A Programming Framework for Multi-CPU and Multi-GPU Systems

J. F. Lima, D. D. Domenico
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引用次数: 3

Abstract

This paper presents a high-level C++ framework to explore multi-CPU and multi-GPU systems called HPSM. HPSM enables parallel loops and reductions implemented over three parallel backends: Serial, OpenMP (with GCC and libKOMP runtime), and StarPU. We evaluated HPSM development effort with AXPY program, and performance with three parallel benchmarks: N-Body, Hotspot, and CFD solver. The CPU-GPU combination attained better performance than only GPUs for all cases on a CPU-GPU system. Still, our findings provide evidence that NUMA affinity at framework level may produce different results.
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HPSM:一个多cpu和多gpu系统的编程框架
本文提出了一个高级c++框架,用于探索多cpu和多gpu系统,称为HPSM。HPSM支持在三个并行后端上实现并行循环和缩减:Serial, OpenMP(使用GCC和libKOMP运行时)和StarPU。我们使用AXPY程序评估了HPSM的开发工作,并使用三个并行基准:N-Body、Hotspot和CFD求解器来评估性能。在CPU-GPU系统的所有情况下,CPU-GPU组合都比仅使用gpu获得更好的性能。尽管如此,我们的研究结果提供了证据,表明在框架水平上NUMA的亲和力可能产生不同的结果。
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