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

NSF和其他联邦机构将需要在制定未来的使能技术、体系结构和方法学计划之前，进一步了解Exascale计算系统的概念、方法和手段。NSF支持一项为期两年的调查计划，即Exascale点设计研究，以提供对可能的使能技术、实现架构和操作系统软件以及编程接口和方法之间相互关系的足够深度和细节的理解。在与LSU， USC， UIUC， UD和Sandia国家实验室（由DOE赞助）的协商下，UT-Austin团队将能源效率作为Exascale系统的关键驱动因素。pi计划调查处理器、内存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，即使传统的内存层次结构表现不佳。他们计划进一步研究使用硬件专门化作为一种手段，以节能的方式加速应用程序的关键组件。UT-Austin计划设计一个Exascale架构，该架构来源于NSF， DOE和DARPA赞助的先前研究，反映了一些最著名的原则和实践，设想在Exaflops规模的硬件和软件。

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.