SGER: Metrics And Methodologies for High Performance System Energy Benchmarking

由于功率限制，无法保持超级计算机性能的指数增长可能会危及美国的竞争力。并行和分布式系统设计的根本改进是必要的，但缺乏标准的度量和方法来评估超级计算机的能源效率提供了一点激励设计节能系统。开发新的指标和方法面临挑战，因为以前以性能为中心的基准不能准确反映能源效率的差异。此外，为了使新的基准和方法获得认可，结果必须易于验证，基准提供者必须在该领域具有可信度和吸引力。在这个项目中，PI们提议创建新的指标和方法来评估超级计算机的能源效率。他们将设计一个分布式软件测试工具，实现性能和能源效率的自动化、可重复和可验证的测量。他们将使用软件测试工具为超级计算机设计新的能源效率基准。 PI，谁开始绿色500名单的能源效率的超级计算机，将与 供应商和最终用户，鼓励他们使用这些新的方法来基准测试他们的系统。

Failure to maintain exponential increases in supercomputer performance due to power limitations could endanger U.S. competitiveness. Fundamental improvements in parallel and distributed system design are needed, but the lack of standard metrics and methodologies to evaluate energy efficiency for supercomputers provides little incentive to design energy efficient systems. Developing new metrics and methodologies is wrought with challenges since previous performance-centric benchmarks do not accurately reflect differences in energy efficiency. Additionally, for new benchmarks and methodologies to gain acceptance, results must be easily verifiable and benchmark purveyors must have credibility and traction in the domain. In this project, the PIs are proposing to create novel metrics and methodologies to evaluate energy efficiency for supercomputers.They will designe a distributed software test-harness that enables automated, repeatable, and verifiable measurements of both performance and energy efficiency. They will designe new energy efficiency benchmarks for supercomputers using the software test harness. The PIs, who started Green500 List of energy efficient supercomputers, are going to work with vendors and end usersto encourage them to benchmark their systems using these new methodologies.