CSR: Large: Collaborative Research: Multi-core Applications Modeling Infrastructure (MAMI)

CSR：大型：协作研究：多核应用建模基础设施 (MAMI)

• 批准号: 0910899
• 负责人: Shirley Moore
• 金额: $ 80万
• 依托单位: University of Tennessee Knoxville
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2009
• 资助国家: 美国
• 起止时间: 2009-08-01 至 2014-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0910899&HistoricalAwards=false
• 关键词: CSR; Large; Collaborative; Research; Multi

This award is funded under the American Recovery and Reinvestment Act of 2009 (Public Law 111-5). The burgeoning revolution in high-end computer architecture has far reaching implications for the software infrastructure of tools for performance measurement, modeling, and optimization, which has been indispensable to improved productivity in computational science over the past decade. The heart of the problem is that new multicore processors are the foundation of next generation systems, ranging from workgroup clusters to petascale supercomputers. The main motivation by chip manufacturers for the movement to multicore processors is better performance per watt than the traditional single core processor. Hence, multicore processors are not equivalent to multiple CPUs that traditional tools addressed. While significant work is underway on understanding performance tradeoffs with multicores, much of this work is ad hoc and needs a unifying framework to which the community can contribute in a systematic manner. Furthermore, little work has been done on understanding performance-power tradeoffs in supercomputer systems for large-scale applications. It is important to understand performance and performance-power tradeoffs in the context of the significant resource sharing that occurs in multicore systems. This proposal is focused on developing the Multicore Application Modeling Infrastructure (MAMI) that will facilitate systematic measurement, modeling, and prediction of performance, power consumption and performance-power tradeoffs in multicore systems. In addition to developing MAMI, the proposed work will use MAMI to model, analyze and optimize performance and power consumption of key benchmarks and applications on multicore systems.

该奖项是根据2009年《美国复苏与再投资法》（公法111-5）资助的。高端计算机体系结构中新兴的革命对绩效测量，建模和优化工具的软件基础架构具有很大的影响，这对于过去十年来提高了计算科学生产力是必不可少的。问题的核心是新的多核心处理器是下一代系统的基础，从工作组群集到佩斯卡尔超级计算机。与传统的单核处理器相比，CHIP制造商对多核心处理器进行运动的主要动机是每瓦的性能更好。因此，多层处理器不等于传统工具所解决的多个CPU。尽管在了解与多学院的绩效折衷方面正在进行重要的工作，但这项工作的大部分都是临时的，需要一个统一的框架，社区可以系统地做出贡献。此外，在了解大规模应用程序中超级计算机系统中的性能权力权衡方面，几乎没有做出的工作。重要的是要在多核心系统中发生的重大资源共享中了解性能和性能权力的权衡。该提案的重点是开发多项应用建模基础架构（MAMI），该基础架构将促进多核系统中的性能，功耗和绩效功率权衡的系统测量，建模和预测。除了开发MAMI之外，拟议的工作还将使用MAMI来建模，分析和优化多层系统上关键基准和应用程序的性能和功耗。