CRI: MISER: A High-performance, Power-aware Cluster

CRI：MISER：高性能、功耗感知集群

• 批准号: 0709025
• 负责人: Kirk Cameron
• 金额: $ 50万
• 依托单位: Virginia Polytechnic Institute and State University
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2007
• 资助国家: 美国
• 起止时间: 2007-09-15 至 2011-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0709025&HistoricalAwards=false
• 关键词: CRI; MISER; performance; Power; aware

0709025CRI:MISER: A High-performance, Power-aware ClusterKirk CameronThe insatiable performance demands of many critical computational science applications cannot be satisfied unless the power and energy requirements of emergent machines are reduced. High-performance, power-aware computing (HPPAC) has emerged as a promising approach to this problem. In HPPAC, power consumption is controlled by software to improve energy efficiency while meeting the performance needs of the application. The lack of power-aware cluster infrastructure of significant scale limits the type of power-aware computer science research conducted.This infrastructure effort is building the MISER (Management Infra-Structure for Energy Reduction) cluster, a power-aware cluster to enable and evaluate energy reduction techniques for scientific applications at scale. This proposed infrastructure will consist of at least 64 rack mounted servers, for a total of at least 256 processor cores. At a minimum each node will have several power-aware processors and power-aware disks. The operating system will be open-source Linux for system software development. Systems will be connected with a high-end interconnect. The project will also extend the existing power measurement and control infrastructure (PowerPack) to the new cluster.Twelve research projects, which span twelve faculty members across four departments, will be supported by the proposed power-aware MISER cluster. The participants have a history of mentoring women and minorities through the Multicultural Academic Opportunities Program (MAOP) where summer student interns participate in the project with a faculty mentor. Furthermore, the techniques will improve the energy efficiency of large scale systems, reduce waste and positively impact the environment.

0709025 CRI：吝啬鬼：一个高性能、功耗感知的机器人Kirk Cameron除非降低应急机器的功耗和能源需求，否则无法满足许多关键计算科学应用程序的永不满足的性能需求。高性能功耗感知计算（HPPAC）已经成为解决这个问题的一种很有前途的方法。在HPPAC中，功耗由软件控制，以提高能源效率，同时满足应用程序的性能需求。缺乏大规模的功耗感知集群基础设施限制了功耗感知计算机科学研究的类型。该基础设施正在构建MISER（管理架构-节能结构）集群，这是一个功耗感知集群，用于实现和评估大规模科学应用的节能技术。这一拟议的基础设施将包括至少64台机架式服务器，总共至少256个处理器核心。每个节点至少将有几个功耗感知处理器和功耗感知磁盘。操作系统将是用于系统软件开发的开放源码Linux。 系统将通过高端互连进行连接。该项目还将把现有的功率测量和控制基础设施（PowerPack）扩展到新的集群。12个研究项目将由拟议的功率感知MISER集群提供支持，这些项目涉及4个部门的12名教师。参与者有通过多元文化学术机会计划（MAOP）指导妇女和少数民族的历史，暑期实习生与教师导师一起参加该项目。此外，这些技术将提高大型系统的能源效率，减少浪费，并对环境产生积极影响。