CSR: Small:Conductor: A Run-Time System for Exascale Computing

CSR：Small：Conductor：用于百亿亿次计算的运行时系统

• 批准号: 1216829
• 负责人: David Lowenthal
• 金额: $ 40万
• 依托单位: University of Arizona
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2012
• 资助国家: 美国
• 起止时间: 2012-10-01 至 2017-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1216829&HistoricalAwards=false
• 关键词: CSR; Small; Conductor; Run; Time

One of the critical problems---if not the critical problem---inreaching the exascale computing goal by the end of the decade is thepower problem. Exascale systems have a target power constraint of 20megawatts even though today's petascale systems---which haveperformance at least two orders of magnitude below prospectiveexascale systems---generally consume around 5 megawatts. Hardwareimprovements alone will not bridge this gap.The PI is developing a run-time system called Conductor to address thepower issue. The overall goal of Conductor is to produce near-optimalapplication performance under a prescribed power bound. Conductorcarries this out by allocating power both between and within nodes.First, the PI is designing and implementing a new technique calledpower scheduling, which addresses the inter-node case. The secondpart of Conductor addresses the intra-node case with power gating,which allows powering off of individual components in a morefine-grain manner than is generally available in architectures today.Finally, the PI is investigating techniques to allow users to assistConductor, through annotations, in achieving high performance in caseswhere power scheduling and power gating alone are not sufficient.The impact of the research described in this proposal is significant.Conductor is essential to achieving exascale performance on nontrivialapplications, and it will help push towards the exascale goal.Achieving exascale performance is an important national priority andwill impact many application domains. The PI is also integrating theresearch ideas into both undergraduate and graduate parallel anddistributed computing courses.

关键问题之一---如果不是关键问题 - - 到本十年末，将Exascale计算目标插入的是权力问题。 Exascale系统的目标功率限制为20mgawatts，即使当今的Petascale系统 - 效果至少要低于前瞻性Exascale Systems的两个数量级 - 通常会消耗5兆瓦。 仅硬件作用就不会弥合这一差距。PI正在开发一个名为指挥器的运行时系统来解决权力问题。 导体的总体目标是在规定的功率界面下产生近乎触觉的涂抹性能。 通过在节点之间和内部分配幂来解决这一问题。首先，PI正在设计和实施一种名为Power Scheduling的新技术，该技术解决了节点案例。 导体的第二部分用功率门控解决了节点案例，它可以以更高的粒度方式与单个组件相比，与当今的体系结构中通常可用。在最终的情况下，PI正在调查用户可以通过在案例中实现较高的动力和力量的效果，从而使用户能够通过注释来协助指导器，从而实现这一目标。为了在非平凡应用方面实现Exascale的表现，并将有助于朝着Exascale目标迈进。实现Exascale绩效是重要的国家优先事项，并将影响许多应用领域。 PI还将Theresearch Ideas整合到本科和研究生和分布的计算课程中。