将HPC软件过渡到百亿亿次异构计算

Wen-mei W. Hwu, Li-Wen Chang, Heehoon Kim, Abdul Dakkak, Izzat El Hajj
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引用次数: 6

摘要

越来越多的世界顶级超级计算机,包括蓝水,都拥有异构的CPUGPU计算单元。随着我们向百亿亿级迈进,我们可以期待异构计算单元的部署更加普遍。虽然少数科学团队已经可以在他们的生产应用程序中使用异构计算单元,但仍有很大的使用空间。本文介绍了将软件转换为这种新范式的当前状态和预计路径。我们首先总结了目前实用的语言,如OpenCL、OpenACC和c++ AMP,它们提高了生产力水平,并强调了它们在支持性能可移植性和可维护性方面的最新进展。然后,我们将简要概述一些新兴的编程系统,如TANGRAM和Troilet,它们旨在进一步提高开发人员的异构计算生产力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Transitioning HPC software to exascale heterogeneous computing
An increasing portion of the top supercomputers in the world, including Blue Waters, have heterogeneous CPUGPU computational units. As we move towards exascale, we can expect even more pervasive deployment of heterogeneous computational units. While a handful of science teams can already use heterogeneous computational units in their production applications, there is still significant room for the growing use. This paper presents the current state and projected path for transitioning software into this new paradigm. We first summarize the currently practical languages such as OpenCL, OpenACC, and C++AMP, in increasing levels of productivity, highlighting their recent advancements in supporting performance portability and maintainability. We will then give a brief overview of some emerging programming systems such as TANGRAM and Troilet that are designed to further enhance developer productivity for heterogeneous computing.
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