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Barriers to Exascale Computing

机译:Exascale Computing的障碍

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摘要

The development of an exascale computing capability with machines capable of executing O(10~(18)) operations per second by the end of the decade will be characterized by significant and dramatic changes in computing hardware architecture from current (2012) petascale high-performance computers. From the perspective of computational science, this will be at least as disruptive as the transition from vector supercomputing to parallel supercomputing that occurred in the 1990s. This was one of the findings of a 2010 workshop on crosscutting technologies for exascale computing. The impact of these architectural changes on future applications development for the computational sciences community can now be anticipated in very general terms. While the community has been investigating the road to exascale worldwide in the last several years, there are still several barriers that need to be overcome to obtain general purpose exascale performance. This short paper will summarize the major challenges to exascale, and how much progress has been made in the last five years.
机译:在十年结束时,通过能够执行O(10〜(18))操作的机器的ExaScale计算能力的开发将以来自当前(2012)的计算硬件架构的显着和显着的变化为特征,其特征在于来自当前(2012)的高性能高性能电脑。从计算科学的角度来看,这将至少作为从传染媒介超级计算到20世纪90年代发生的平行超级计算的过渡。这是2010年关于Exascale Computing横切技术的研讨会的调查结果之一。现在可以以非常一般的方式预期这些架构对未来应用程序开发的影响。虽然社区在过去几年中一直调查全世界Exascale的道路,但仍有几个障碍需要克服,以获得通用Exastale表现。这篇短文将总结对ExaScale的主要挑战以及过去五年来的进展情况。

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