哦,$ # * @ !Exascale !新兴架构对科学发现的影响

K. Moreland
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引用次数: 13

摘要

对百亿亿次计算的预测是可怕的。尽管十多年来我们一直受益于一致的超级计算机架构设计,即使是在不同的制造商之间,但最近的趋势表明,未来的高性能计算机将具有不同的硬件结构和编程模型,软件必须适应这些结构和模型。本文非正式地讨论了高性能计算架构的变化将如何深刻地影响我们当前一代科学可视化和分析代码的可伸缩性,以及我们必须如何调整我们的应用程序、工作流和态度,以继续我们在百亿亿级计算上的成功。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Oh, $#*@! Exascale! The Effect of Emerging Architectures on Scientific Discovery
The predictions for exascale computing are dire. Although we have benefited from a consistent supercomputer architecture design, even across manufacturers, for well over a decade, recent trends indicate that future high-performance computers will have different hardware structure and programming models to which software must adapt. This paper provides an informal discussion on the ways in which changes in high-performance computing architecture will profoundly affect the scalability of our current generation of scientific visualization and analysis codes and how we must adapt our applications, workflows, and attitudes to continue our success at exascale computing.
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