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并行架构的有效使用方面的工作，并在单个芯片和跨数据中心实现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, Cache bank， fetch unit等）架构以及控制架构配置的软件优化运行时系统的协同设计。该运行时管理系统理解高级目标和约束，如优化功耗、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可配置的多核架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；并且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，以处理可控制参数数量的改变性增加。这个项目将探索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.