费米实验室的高性能并行本地存储器计算

T. Nash
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引用次数: 3

摘要

费米实验室高能物理(HEP)的实验和理论方法都受到计算机技术的限制:没有人能确定对计算或数据容量的要求是独立于成本或其他现实的。因此,费米实验室被迫将大量的注意力和资源转向使用任何可用的技术来寻找极具成本效益的计算解决方案,并在此过程中成为目标驱动的计算机科学的先驱,在芯片,板和系统级别集成商业解决方案。近年来,最明显的是首先在超立方体运动中,现在在对网络化并行工作站集群的兴趣激增中,“显式并行”已经成为计算机科学攻击并行计算问题的公认力量。报告讨论了这些计算机系统的实施。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
High Performance Parallel Local Memory Computing at Fermilab
Both experimental and theoretical approaches to high energy physics (HEP) at Fermilab are computer technology limited: no one can identify a requirement on computing or data capacity that is independent of cost or other realities. Fermilab has been forced, therefore, to turn significant attention and resources to finding extremely cost effective solutions to its computing using whatever technology is available, and in the process has become a pioneer in goal-driven computer science, integrating commercial solution at the chip, board, and system level. In recent years, most obviously first in the hypercube movement, and now in the surge of interest in networked parallel workstation clusters,'' explicit parallelism has become a recognized force in the computer science attack on the problem of parallel computing. The report discusses the implementation of these computer systems.
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