刀刃贝奥武夫:传统贝奥武夫的经济实惠的替代品

Wu-chun Feng, Michael S. Warren, E. Weigle
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引用次数: 39

摘要

我们向贝奥武夫集群呈现一个新的转折-刀锋贝奥武夫。与传统的Beowulf通常使用英特尔或AMD处理器相比,我们的blade Beowulf使用跨元处理器,以保持低热功耗,高可靠性和高密度,同时仍然达到与基于英特尔和AMD的集群相当的性能。考虑到传统超级计算机和贝奥武夫集群日益增加的复杂性;大小、可靠性、功耗以及易于管理和使用等问题将成为高性能计算这十年的“主要”问题。更大更快的机器已经不够好了。为了说明这一点,我们展示了blade Beowulf上的性能基准测试结果,并介绍了影响计算系统总拥有成本(TCO)的两个性能指标——性能/功耗和性能/空间。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Bladed Beowulf: a cost-effective alternative to traditional Beowulfs
We present a new twist to the Beowulf cluster - the Bladed Beowulf. In contrast to traditional Beowulfs which typically use Intel or AMD processors, our Bladed Beowulf uses Trans-meta processors in order to keep thermal power dissipation low and reliability and density high while still achieving comparable performance to Intel- and AMD-based clusters. Given the ever increasing complexity of traditional supercomputers and Beowulf clusters; the issues of size, reliability power consumption, and ease of administration and use will be "the" issues of this decade for high-performance computing. Bigger and faster machines are simply not good enough anymore. To illustrate, we present the results of performance benchmarks on our Bladed Beowulf and introduce two performance metrics that contribute to the total cost of ownership (TCO) of a computing system - performance/power and performance/space.
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