SGER: Metrics And Methodologies for High Performance System Energy Benchmarking

由于功率限制，超级计算机性能无法保持指数级增长，可能会危及美国的竞争力。并行和分布式系统设计需要根本性的改进，但缺乏标准的度量和方法来评估超级计算机的能源效率，这使得设计节能系统的动力不足。开发新的指标和方法充满挑战，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接受，结果必须易于验证，并且基准提供者必须在领域中具有可信度和牵引力。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，以实现对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效基准。启动Green500节能超级计算机列表的pi将与供应商和最终用户合作，鼓励他们使用这些新方法对他们的系统进行基准测试。

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.