Design and Implementation of GXP Make -- A Workflow System Based on Make

K. Taura, Takuya Matsuzaki, Makoto Miwa, Yoshikazu Kamoshida, Daisaku Yokoyama, N. Dun, Takeshi Shibata, Choi Sung Jun, Junichi Tsujii
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引用次数: 28

Abstract

This paper describes the rational behind designing workflow systems based on the Unix make by showing a number of idioms useful for workflows comprising many tasks. It also demonstrates a specific design and implementation of such a workflow system called GXP make. GXP make supports all the features of GNU make and extends its platforms from single node systems to clusters, clouds, supercomputers, and distributed systems. Interestingly, it is achieved by a very small code base that does not modify GNU make implementation at all. While being not ideal for performance, it achieved a useful performance and scalability of dispatching one million tasks in approximately 16,000 seconds (60 tasks per second, including dependence analysis) on an 8 core Intel Nehalem node. For real applications, recognition and classification of protein-protein interactions from biomedical texts on a supercomputer with more than 8,000 cores are described.
基于Make的工作流系统GXP Make的设计与实现
本文介绍了基于Unix的工作流系统的设计原理,并给出了一些适用于多任务工作流的习惯用法。并给出了GXP make工作流系统的具体设计与实现。GXP make支持GNU make的所有特性,并将其平台从单节点系统扩展到集群、云、超级计算机和分布式系统。有趣的是,它是由一个非常小的代码库实现的,根本没有修改GNU make实现。虽然性能不理想,但它在8核Intel Nehalem节点上实现了在大约16,000秒(每秒60个任务,包括依赖性分析)内调度100万个任务的有用性能和可伸缩性。对于实际应用,描述了在具有8000多个核的超级计算机上从生物医学文本中识别和分类蛋白质-蛋白质相互作用。
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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