Exploiting Content Similarity to Improve Memory Performance in Large-Scale High-Performance Computing Systems

Scott Levy
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Abstract

As we consider building the next generation of extreme-scale systems, many of the biggest challenges are related to memory characteristics. In particular, overcoming challenges related to resilience and memory bandwidth will require innovative strategies for improving the performance of main memory. In this paper, we propose to exploit memory content similarity to improve memory performance. We begin by presenting several novel strategies that leverage memory content similarity to improve system resilience and effective memory bandwidth. Additionally, we seek to understand the source of similarity in the memory of HPC applications.
利用内容相似度提高大规模高性能计算系统的内存性能
当我们考虑构建下一代超大规模系统时,许多最大的挑战都与内存特性有关。特别是,克服与弹性和内存带宽相关的挑战将需要创新的策略来提高主存储器的性能。在本文中,我们提出利用记忆内容相似度来提高记忆性能。我们首先提出了几种利用内存内容相似性来提高系统弹性和有效内存带宽的新策略。此外,我们试图了解HPC应用程序内存中的相似性来源。
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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