EAGER: An Energy-Driven Point Design Study for Exascale Computing

美国国家科学基金会和其他联邦机构将要求进一步了解亿级计算系统的概念、方法和手段，然后才能制定未来的使能技术、体系结构和方法计划。NSF支持一项为期两年的有针对性的调查计划，即亿级点设计研究，以充分深入和详细地了解可能的使能技术、实施体系结构和操作系统软件，以及编程接口和方法之间的相互关系。UT-奥斯汀团队与路易斯安那州立大学、南加州大学、UIUC、UD和桑迪亚国家实验室(由能源部赞助)合作，专注于将能效作为艾司级系统的关键驱动因素。PI计划调查处理器、存储系统和互连体系结构，这些体系结构能够利用时间和空间局部性，即使在传统的存储层次结构表现不佳的情况下也是如此。他们计划进一步调查硬件专业化的使用，将其作为以节能方式加速应用程序关键组件的一种手段。德克萨斯大学奥斯汀分校计划从NSF、DOE和DARPA赞助下进行的先前研究中设计出一种Exascale体系结构，反映了Exaflops规模的硬件和软件所设想的一些最著名的原则和实践。

The NSF and other Federal agencies will require further understanding of concepts, methods, and means for Exascale computing systems before formulation of future programs in enabling technologies, architectures, and methodologies. NSF supports a targeted two-year program of investigation, The Exascale Point-design Study, to provide sufficient depth and detail of understanding of the interrelationships among possible enabling technologies, implementation architectures and operating system software, and programming interfaces and methodologies.Working in consultation with LSU, USC, UIUC, UD, and Sandia National Laboratory (under DOE sponsorship), UT-Austin team focuses on energy efficiency as a key driver for Exascale systems. The PIs plan to investigate processor, memory system, and interconnect architectures that enable the exploitation of temporal and spatial locality, even when traditional memory hierarchies perform poorly. They plan to further investigate the use of hardware specialization as a means to accelerate critical components of applications in an energy-efficient fashion. UT-Austin plans to devise an Exascale architecture derived from prior research conducted under NSF, DOE, and DARPA sponsorship, reflecting some of the best-known principles and practices envisioned for hardware and software at the Exaflops scale.