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

为可伸缩和高度并行的计算机体系结构进行编程并利用其优势正变得越来越具有挑战性。为了简化程序员和用户在实现高效使用并行体系结构方面的工作，并实现在单个芯片内和跨数据中心的并行硬件的最佳使用，本项目探索了细粒度可配置(下至ALU、FPU、高速缓存库、读取单元等)体系结构的联合设计，以及控制该体系结构配置的软件优化运行时系统。该运行时管理系统理解高级目标和约束，例如优化功率、延迟、成本或复杂的混合目标，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受内核启发的可配置体系结构和自适应运行时系统。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；并将利用处理器核心以下可配置和可监控的硬件来推动系统适应的边界。通过向自适应运行时提供这种灵活且高度受监控的体系结构，该项目将探索自适应运行时算法的可伸缩性，以处理可控参数数量的改变游戏规则的增加。本项目将探讨配置并行架构在多大程度上是富有成效的。

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.