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The Day After Tomorrow: The Looming Post-Exascale Crisis

机译:明天的第二天:日益严重的百日危机

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This is the best of times for high-performance computing. Our simulations continue to grow in complexity and sophistication, and they drive progress in the physical sciences and engineering, improving the world in myriad ways. Around the globe multiple plans are underway to achieve exascale performance by the early 2020's. Although considerable challenges remain, it seems that we can get to the exascale with familiar technologies and programming models. But while the immediate future looks bright, significant problems lie ahead. With Dennard scaling long-dead, device technologies won't save us from crippling power requirements for a 10 exaflop machine. And with Moore's Law sputtering towards end-of-life, performance is not improving much with each new generation of chips. There has been considerable excitement about the promise of quantum computing, reversible computing and other exotic concepts. But it seems likely that these will not become general-purpose approaches to computing for many years, if ever.
机译:这是高性能计算的最佳时机。我们的模拟在复杂性和复杂性方面不断增长,并推动了物理科学和工程学的进步,以多种方式改善了世界。在全球范围内,正在制定多项计划,以在2020年代初实现百亿亿次电性能。尽管仍然存在巨大的挑战,但似乎我们可以通过熟悉的技术和编程模型来达到万亿级。但是,尽管前途一片光明,但仍然存在重大问题。丹纳德(Dennard)长期处于停产状态,设备技术将无法使我们免除10 exaflop机器的功耗需求。而且,随着摩尔定律向寿命终止的方向发展,每一代新一代芯片的性能都不会得到很大改善。人们对量子计算,可逆计算和其他奇特概念的前景感到非常兴奋。但是,似乎很可能这些年来也不会成为通用的计算方法。

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