Architectural Constraints to Attain 1 Exaflop/s for Three Scientific Application Classes

A. Bhatele, Pritish Jetley, Hormozd Gahvari, Lukasz Wesolowski, W. Gropp, L. Kalé
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引用次数: 28

Abstract

The first Teraflop/s computer, the ASCI Red, became operational in 1997, and it took more than 11 years for a Petaflop/s performance machine, the IBM Roadrunner, to appear on the Top500 list. Efforts have begun to study the hardware and software challenges for building an exascale machine. It is important to understand and meet these challenges in order to attain Exaflop/s performance. This paper presents a feasibility study of three important application classes to formulate the constraints that these classes will impose on the machine architecture for achieving a sustained performance of 1 Exaflop/s. The application classes being considered in this paper are -- classical molecular dynamics, cosmological simulations and unstructured grid computations (finite element solvers). We analyze the problem sizes required for representative algorithms in each class to achieve 1 Exaflop/s and the hardware requirements in terms of the network and memory. Based on the analysis for achieving an Exaflop/s, we also discuss the performance of these algorithms for much smaller problem sizes.
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三个科学应用类达到1 Exaflop/s的架构限制
第一台每秒万亿次浮点运算的计算机ASCI Red于1997年投入使用,而IBM Roadrunner花了11年多的时间才出现在Top500榜单上。人们已经开始研究制造百亿亿次计算机所面临的硬件和软件挑战。为了达到Exaflop/s的性能,理解并应对这些挑战是很重要的。本文提出了三个重要应用类的可行性研究,以制定这些类对机器架构施加的约束,以实现1 Exaflop/s的持续性能。本文考虑的应用类是——经典分子动力学、宇宙学模拟和非结构网格计算(有限元求解器)。我们分析了每一类代表性算法达到1 Exaflop/s所需的问题大小,以及在网络和内存方面的硬件要求。基于实现Exaflop/s的分析,我们还讨论了这些算法在更小的问题规模下的性能。
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