Making a case for a Green500 list
Making a case for a Green500 list
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为 Green500 名单提供理由
DOI：
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发表时间：
2006
期刊：
影响因子：
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通讯作者：
Wu
中科院分区：
文献类型：
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作者：
Sushant Sharma;C. Hsu;Wu
几十年来，“性能”的概念一直是“速度”的同义词（以FLOPS衡量，即每秒浮点操作数的缩写）。不幸的是，这种特别的关注导致了超级计算机的出现，这些超级计算机消耗了惊人的电力，产生了如此多的热量，以至于必须建造大量的冷却设施来确保正常运行。此外，将速度作为性能指标的强调导致了其他性能指标在很大程度上被忽略，例如可靠性、可用性和可用性。因此，上述所有因素导致超级计算机的总拥有成本（TCO）大幅增加。尽管TOP500列表很重要，但我们认为该列表使高性能计算（UPC）社区更加难以关注速度以外的性能指标。因此，为了提高对其他感兴趣的性能指标的认识，例如，提高可靠性的能源效率，我们提出了一个Green500列表，并讨论了将用于在该列表中对超级计算系统进行排名的潜在指标
For decades now, the notion of "performance" has been synonymous with "speed" (as measured in FLOPS, short for floating-point operations per second). Unfortunately, this particular focus has led to the emergence of supercomputers that consume egregious amounts of electrical power and produce so much heat that extravagant cooling facilities must be constructed to ensure proper operation. In addition, the emphasis on speed as the performance metric has caused other performance metrics to be largely ignored, e.g., reliability, availability, and usability. As a consequence, all of the above has led to an extraordinary increase in the total cost of ownership (TCO) of a supercomputer. Despite the importance of the TOP500 List, we argue that the list makes it much more difficult for the high-performance computing (UPC) community to focus on performance metrics other than speed. Therefore, to raise awareness to other performance metrics of interest, e.g., energy efficiency for improved reliability, we propose a Green500 List and discuss the potential metrics that would be used to rank supercomputing systems on such a list