SGER: Metrics And Methodologies for High Performance System Energy Benchmarking

由于功率限制而无法保持超级计算机性能的指数级增长可能会危及美国的竞争力。需要对并行和分布式系统设计进行根本性改进，但缺乏评估超级计算机能源效率的标准指标和方法，对设计节能系统几乎没有动力。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，为了让新的基准和方法获得认可，结果必须易于验证，并且基准提供者必须在该领域具有可信度和吸引力。在该项目中，PI 提议创建新颖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、可重复且可验证的测量。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。 发起了节能超级计算机 Green500 名单的 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其系统进行基准测试。

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.