XSEDE OpenACC研讨会使蓝水研究人员能够加速关键算法

G. W. Arnold, M. Gajbe, S. Koric, J. Urbanic
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引用次数: 0

摘要

美国国家超级计算应用中心(NCSA)的蓝水系统是美国国家科学基金会(NSF)投资组合中最大的GPU加速系统,拥有超过(>)4200个Nvidia K20x加速器和超过(>)22500个计算节点。有效地使用加速器节点对于系统的成功至关重要,因为它们代表了大约1/7的系统峰值性能。作为XSEDE二级服务提供商,该系统也可用于XSEDE教育工作者和培训师提出的教育拨款。自2012年以来,匹兹堡超级计算中心(PSC)的培训人员与他们的XSEDE和Nvidia合作伙伴一起提供了多次OpenACC研讨会。最近的一次研讨会是在Blue Waters主持的实践环节上进行的,非常成功。在这些研讨会上与PSC合作的直接结果是,NCSA的研究人员已经能够在Cray环境中使用OpenACC获得实际算法的显着加速。在这项工作中,我们将研究两个关键的内核代码(3D FFT内核,拉普拉斯2D MPI基准)和获得观察到的性能增益的路径。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
XSEDE OpenACC workshop enables Blue Waters Researchers to Accelerate Key Algorithms
The Blue Waters system at the National Center for Supercomputing Applications (NCSA) is the largest GPU accelerated system in the NSF's portfolio with greater than (>) 4200 Nvidia K20x accelerators and greater than (>) 22500 compute nodes overall. Using the accelerator nodes effectively is paramount to the system's success as they represent approximately 1/7 of system peak performance. As an XSEDE level 2 service provider, the system is also available to education allocations proposed by XSEDE educators and trainers. The training staff working at Pittsburgh Supercomputing Center (PSC) along with their XSEDE and Nvidia partners have offered multiple OpenACC workshops since 2012. The most recent workshop was conducted on Blue Waters hosting the hands-on sessions and it was very successful. As a direct result of working with PSC on these workshop, NCSA researchers have been able to obtain significant speedups on real-world algorithms using OpenACC in the Cray environment. In this work we will look at two key kernel codes (3D FFT kernel, Laplace 2D MPI benchmark) and the path to obtaining the observed performance gains.
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