EAGER: Collaborative Research: Heterogeneous Cores, Memory-Hierarchy and Communication Architectures for Future CMPs

EAGER：协作研究：未来 CMP 的异构核心、内存层次结构和通信架构

• 批准号: 1147406
• 负责人: Luca Carloni
• 金额: $ 10万
• 依托单位: Columbia University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2011
• 资助国家: 美国
• 起止时间: 2011-09-01 至 2013-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1147406&HistoricalAwards=false
• 关键词: EAGER; Collaborative; Research; Heterogeneous; Cores

Computing has enabled immense innovations in many fields and sociallife due to continued performance, power, and cost improvementsenabled by technology scaling. Unfortunately, two key trends threatenperformance and cost improvement of computers going into thefuture. First, technology scaling is at jeopardy, leading to majorchallenges in power consumption, reliability, and performance. Second,power and energy consumption has become a key constraint, yet existingsystems are mostly designed in a one-size-fits-all way agnostic to theneeds of different applications. To overcome both problems, thisresearch investigates novel uses of heterogeneous technologies inthree key components of a computing system: cores, interconnect, andmemory. The approach taken is an application-driven approach that aimsto seamlessly integrate heterogeneity in the three components. Majorexpected contributions of the research include: (1) an initial studyof first-principles based and application-driven design of cores, (2)new mechanisms for enabling phase-change memory based heterogeneousmain memory, (3) exploration of tradeoffs in the design of3-dimensional optical interconnects, (4) initial exploration of theinteraction of heterogeneous components in cores, interconnect, andmemory.The proposed research has the potential to transform the design andarchitecture of future multi-core systems, which are already a part ofthe entire IT sector and our daily lives. It can enable overcoming keychallenges that impediment higher-performance and lower-powerlower-cost computing, which has traditionally enabled new applicationsand discoveries. Enabling fundamentally efficient heterogeneousmulti-core systems can largely reduce energy and technology-scalingcosts of computing, and improve dependability and performance. Directtransfer of many ideas to industry are expected through extensivecollaborations with platform and chip design industries.

由于持续的性能，力量和成本提高，计算已经在许多领域和社会生活中实现了巨大的创新。不幸的是，两个关键趋势威胁到实现该计算机的计算机的成本提高。首先，技术缩放在危险中，导致了功耗，可靠性和性能的大关。其次，功耗和能源消耗已成为一个关键限制，但存在系统主要以一种适合各种方式的方式设计到当时的不同应用程序的不可知论。为了克服这两个问题，这项研究研究了计算系统的三个关键组成部分的新颖使用：核心，互连和内存。采用的方法是一种以应用程序为导向的方法，该方法将无缝集成在三个组件中的异质性无缝整合。这项研究的贡献包括：（1）基于第一原理的基于第一原质和以应用驱动的核心设计的初步研究，（2）实现基于相位变化的异质性记忆的新机制，（3）探索3维光学互连的设计中的权衡取舍，拟议的研究有可能改变未来多核系统的设计和结构，这些系统已经成为整个IT领域和我们的日常生活的一部分。它可以实现障碍更高效果和较低驾驶措施计算的克服钥匙挑战，这传统上启用了新的应用程序和发现。 启用从根本上有效的异构态系统可以很大程度上降低计算的能源和技术大规模估计，并提高可靠性和性能。通过平台和芯片设计行业的扩展委员会进行扩展，可以预期将许多想法的直接转移到行业中。