Collaborative Research: II-NEW: Marcher - A Heterogeneous High Performance Computing Infrastructure for Research and Education in Green Computing

协作研究：II-新：Marcher - 用于绿色计算研究和教育的异构高性能计算基础设施

• 批准号: 1305359
• 负责人: Ziliang Zong
• 金额: $ 38万
• 依托单位: Texas State University - San Marcos
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2013
• 资助国家: 美国
• 起止时间: 2013-09-01 至 2018-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1305359&HistoricalAwards=false
• 关键词: Collaborative; Research; II; NEW; Marcher

Excessive energy consumption is a major constraint when designing and deploying the next generation of supercomputers. Minimizing energy consumption of high performance computing requires novel energy-conscious technologies at multiple layers from architecture, system support, and applications. One obstacle that hinders the exploration of these new technologies is the lack of tools and systems that can provide accurate, fine-grained, and real-time power and energy measurement for technology evaluation and verification. This project bridges the gap by building Marcher, a heterogeneous high performance computing infrastructure equipped with cutting-edge power-efficient accelerators including Intel Many Integrated Cores and Nvidia Graphics Processing Units, power-aware memory systems, hybrid storage with hard disk drives and solid state disks, and high performance interconnects. The Marcher system supports the development of two complementary component-level power measurement tools for major computer components: (i) pluggable Power Data Acquisition Card (PODAC) for direct and decomposed power measurement and (ii) Software Power Meter (SoftMeter) that indirectly estimates the power consumption of systems where direct measurement is not feasible or too costly. Upon completion of this project, both PODAC and SoftMeter will be made available to a broader community and researchers to establish their own power-aware systems. Marcher will be open to external research groups and provide users with comprehensive and detailed performance and power profiles to aid the research in energy efficient software design and system development.

过度的能耗是设计和部署下一代超级计算机时的主要制约因素。最大限度地降低高性能计算的能耗需要在架构、系统支持和应用程序等多个层面上采用新的节能技术。阻碍这些新技术探索的一个障碍是缺乏能够为技术评估和验证提供准确、细粒度和实时功率和能量测量的工具和系统。该项目通过构建Marcher弥合了这一差距。Marcher是一种异构高性能计算基础架构，配备了尖端的高能效加速器，包括英特尔多集成内核和Nvidia图形处理单元、功耗感知内存系统、具有硬盘驱动器和固态硬盘的混合存储以及高性能互连。Marcher系统支持为主要计算机组件开发两种互补的组件级功率测量工具：（i）用于直接和分解功率测量的可插拔功率数据采集卡（PODAC）和（ii）间接估计直接测量不可行或成本过高的系统功耗的软件功率计（SoftMeter）。 该项目完成后，PODAC和SoftMeter将提供给更广泛的社区和研究人员，以建立他们自己的功率感知系统。Marcher将向外部研究小组开放，并为用户提供全面详细的性能和功率配置文件，以帮助研究节能软件设计和系统开发。