高性能计算集群分布式外核存储方法及其在量子化学中的应用

Chris Simmons, K. Schulz
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引用次数: 4

摘要

在包括量子化学在内的一系列科学计算学科中都遇到过外核方法,这种方法反复将数据卸载到磁盘上,以克服本地节点上的内存限制。不幸的是,这些方法通常不能很好地映射到现代HPC集群上使用的全局并行文件系统,甚至可能压倒最强大的文件系统,导致应用程序性能低得令人无法接受(同时也降低了所有系统用户的I/O性能)。为了解决这一瓶颈并探索量子化学应用中HPC集群的更有效使用,CFOUR开发了一种新的基于mpi的实用程序,以支持分布式内存系统上的外核方法。这个MPI Ocore实用程序利用HPC集群上可用的高速互连,将核外记录卸载并检索到一个或多个远程内存存储池,从而避免本地或全局文件系统上过多的I/O事务。在本文中,我们概述了Ocore的实现,它在大型量子化学应用中的直接应用,以及与InfiniBand互连的HPC集群的微基准测试和应用性能结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A distributed memory out-of-core method on HPC clusters and its application to quantum chemistry applications
Out-of-core methods, which repeatedly offload data to disk in order to overcome local on-node memory constraints are encountered in a range of scientific computing disciplines, including quantum chemistry. Unfortunately, these methods do not often map nicely onto global parallel file systems employed on modern HPC clusters and can overwhelm even the most capable of file systems causing unacceptably low application performance (while also degrading I/O performance for all system users). To address this bottleneck and explore more efficient use of HPC clusters for a quantum chemistry application, CFOUR, a new MPI-based utility has been developed to support out-of-core methods on distributed memory systems. This MPI Ocore utility leverages the high-speed interconnect available on HPC clusters to offload and retrieve out-of-core records to one or more remote memory storage pools, avoiding excessive I/O transactions on local or global file systems. In this paper, we present an overview of the Ocore implementation, it's direct application within a large quantum chemistry application, and micro-benchmark and application performance results from an HPC cluster interconnected with InfiniBand.
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