Making a case for a green500 list

  • Authors:

  • Sushant Sharma;Chung-Hsing Hsu;Wu-chun Feng

  • Affiliations:

  • Los Alamos National Laboratory, Advanced Computing Lab., Los Alamos, NM;Los Alamos National Laboratory, Advanced Computing Lab., Los Alamos, NM;Virginia Polytechnic Institute and State University, Dept. of Computer Science, Blacksburg, VA

  • Venue:
  • IPDPS'06 Proceedings of the 20th international conference on Parallel and distributed processing
  • Year:
  • 2006

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Abstract

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 (HPC) 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.