XPS: FULL: CCA: Collaborative Research: CASH: Cost-aware Adaptation of Software and Hardware

XPS：完整：CCA：协作研究：CASH：软件和硬件的成本意识适应

• 批准号: 1438980
• 负责人: David Wentzlaff
• 金额: $ 30万
• 依托单位: Princeton University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2014
• 资助国家: 美国
• 起止时间: 2014-09-01 至 2018-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1438980&HistoricalAwards=false
• 关键词: XPS; FULL; CCA; Collaborative; Research

Programming for and leveraging the benefits of scalable and highlyparallel computer architectures is becoming increasinglychallenging. In order to ease programmer and user effort in achievingefficient use of parallel architectures and to enable optimal usage ofparallel hardware both within a single chip and across a data center,this project explores the co-design of a fine-grain configurable (downto the ALU, FPU, Cache bank, fetch unit, etc) architecture along witha software optimizing runtime system which controls the architecture'sconfiguration. This runtime management system understands high-levelgoals and constraints such as optimizing for power, latency, cost, orcomplex mixed-goals and dynamically allocates fine-grain resources tomeet the constraints. This project will evaluate and design a configurablemanycore-inspired architecture and a self-adapting runtime system.This project will investigate the creation of a complete, scalable,self-adaptive computing system; and will push the boundaries ofadapting systems by utilizing hardware that is configurable andmonitorable below the processor core level. By providing such aflexible and highly monitored architecture to the adaptation runtime,this project will explore the scalability of adaptive runtimealgorithms to handle a game-changing increase in the number ofcontrollable parameters. This project will explore the extent towhich it is fruitful to configure a parallel architecture.

对可扩展和高度并行的计算机架构进行编程并利用其优势正变得越来越具有挑战性。为了减轻程序员和用户在实现并行架构的高效使用方面的工作量，并在单芯片内和跨数据中心实现并行硬件的最佳使用，该项目探索了细粒度可配置（具体到 ALU、FPU、高速缓存组、取指单元等）架构与控制架构配置的软件优化运行时系统的协同设计。该运行时管理系统了解高级目标和约束，例如针对功耗、延迟、成本或复杂混合目标进行优化，并动态分配细粒度资源以满足约束。该项目将评估和设计一个可配置的多核启发架构和一个自适应运行时系统。该项目将研究创建一个完整的、可扩展的、自适应的计算系统；并将通过利用处理器核心级别以下可配置和可监控的硬件来突破适应系统的界限。通过为自适应运行时提供这种灵活且高度监控的架构，该项目将探索自适应运行时算法的可扩展性，以应对可控参数数量的改变游戏规则的增加。该项目将探讨配置并行架构的成效程度。

项目成果

OpenPiton: an open source hardware platform for your research

OpenPiton：适合您研究的开源硬件平台

• DOI: 10.1145/3366343
• 发表时间: 2019
• 期刊: Communications of the ACM
• 影响因子: 22.7
• 作者: Balkind, Jonathan;McKeown, Michael;Fu, Yaosheng;Nguyen, Tri;Zhou, Yanqi;Lavrov, Alexey;Shahrad, Mohammad;Fuchs, Adi;Payne, Samuel;Liang, Xiaohua
• 通讯作者: Liang, Xiaohua