超级计算的未来

M. Snir
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引用次数: 8

摘要

二十多年来,超级计算机以一种相对简单的方式发展:由于摩尔定律,超级计算机由商品微处理器组装而成,并利用其指数级增长的性能。自从十年前时钟速度停止增长以来,这个简单的模型一直处于压力之下:性能的提高需要并发线程数量的相应增加。在接下来的十年里,器件技术的发展可能会更加不利:CMOS性能的增长即将结束,没有替代技术可以取代CMOS。设备尺寸的持续缩小需要越来越昂贵的技术,并且可能不会导致成本/性能比的改善;在这一点上,它不再对商品技术有意义。这些障碍并不意味着超级计算机性能停滞不前。从长远来看,新的计算模型将会拯救我们。在短期内,更奇特的、非商业的设备技术可以提供两个或更多的数量级的性能改进。最后,更好的硬件和软件架构可以显著提高科学计算平台的效率。虽然有可能继续取得进展,但这将需要大量的国际研究努力和对未来大型“计算工具”的重大投资。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Future of Supercomputing
For over two decades, supercomputing evolved in a relatively straightforward manner: Supercomputers were assembled out of commodity microprocessors and leveraged their exponential increase in performance, due to Moore's Law. This simple model has been under stress since clock speed stopped growing a decade ago: Increased performance has required a commensurate increase in the number of concurrent threads. The evolution of device technology is likely to be even less favorable in the coming decade: The growth in CMOS performance is nearing its end, and no alternative technology is ready to replace CMOS. The continued shrinking of device size requires increasingly expensive technologies, and may not lead to improvements in cost/performance ratio; at which point, it ceases to make sense for commodity technology. These obstacles need not imply stagnation in supercomputer performance. In the long run, new computing models will come to the rescue. In the short run, more exotic, non-commodity device technologies can provide two or more orders of magnitude improvements in performance. Finally, better hardware and software architectures can significantly increase the efficiency of scientific computing platforms. While continued progress is possible, it will require a significant international research effort and major investments in future large-scale "computational instruments".
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