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引用次数: 3
摘要
带有加速器的高性能计算系统是新常态。然而，编程这些加速器以获得良好的性能是非常复杂和繁琐的。因此，基于指令的编程，如OpenMP和OpenACC，在并行编程中越来越受欢迎。它们从用户那里抽象出低级复杂性，从而简化了编程体验。在本文中，我们对openmp4.5和OpenACC在GPU编程方面进行了广泛的比较。这两个api在NVIDIA Tesla gpu，即P100和V100上的性能比较也被捕获。数据传输时间、内核执行时间、总执行时间和性能可移植性是比较的标准。在使用指令并行化应用程序从而导致不正确输出时所面临的挑战也被列举出来。
A Comprehensive Comparison and Analysis of OpenACC and OpenMP 4.5 for NVIDIA GPUs
HPC systems having accelerator attached to it is the new normal. However, programming these accelerators to get good performance is very complex and tedious. Hence, directive based programming such as OpenMP and OpenACC are gaining wide popularity for parallel programming. They simplify the programming experience by abstracting the low-level complexities from the user. In this paper, we have done an extensive comparison of OpenMP 4.5 and OpenACC for GPU programming. Performance comparison of these two APIs on NVIDIA Tesla GPUs namely, P100 and V100 has also been captured. Data Transfer times, Kernel Execution times, Total Execution times and Performance portability are the criteria for comparison. The challenges faced while parallelizing the applications using the directives thus leading to improper outputs has also been dotted.
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