DASH-IO: an empirical study of flash-based IO for HPC

J. He, Jeffrey Bennett, A. Snavely
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引用次数: 26

Abstract

HPC applications are becoming more and more data-intensive as a function of ever-growing simulation sizes and burgeoning data-acquisition. Unfortunately, the storage hierarchy of the existing HPC architecture has a 5-order-of-magnitude latency gap between main memory and spinning disks and cannot respond to the new data challenge well. Flash-based SSDs (Solid State Disks) are promising to fill the gap with their 2-order-of-magnitude lower latency. However, since all the existing hardware and software were designed without flash in mind, the question is how to integrate the new technology into existing architectures. DASH is a new Teragrid resource aggressively leveraging flash technology (and also distributed shared memory technology) to fill the latency gap. To explore the potentials and issues of integrating flash into today's HPC systems, we swept a large parameter space by fast and reliable measurements to investigate varying design options. We here provide some lessons we learned and also suggestions for future architecture design. Our results show that performance can be improved by 9x with appropriate existing technologies and probably further improved by future ones.
DASH-IO:基于闪存的高性能计算IO的实证研究
随着仿真规模的不断增长和数据采集的迅速发展,HPC应用变得越来越数据密集。不幸的是,现有HPC架构的存储层次结构在主存和旋转磁盘之间存在5个数量级的延迟差距,无法很好地响应新的数据挑战。基于闪存的ssd(固态磁盘)有望以其低2个数量级的延迟来填补这一空白。然而,由于所有现有的硬件和软件在设计时都没有考虑到闪存,问题是如何将新技术集成到现有的架构中。DASH是一种新的Teragrid资源,积极利用闪存技术(以及分布式共享内存技术)来填补延迟差距。为了探索将闪存集成到当今的高性能计算系统中的潜力和问题,我们通过快速可靠的测量来研究不同的设计选项,扫描了大量的参数空间。我们在此提供一些经验教训,以及对未来建筑设计的建议。我们的结果表明,使用适当的现有技术可以将性能提高9倍,并且未来的技术可能会进一步提高性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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