PYI: Automatic Locality Management in Scaleable Multiprocessors

PYI：可扩展多处理器中的自动位置管理

• 批准号: 9157393
• 负责人: Anant Agarwal
• 金额: $ 31.25万
• 依托单位: Massachusetts Institute of Technology
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 1991
• 资助国家: 美国
• 起止时间: 1991-09-01 至 1997-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9157393&HistoricalAwards=false
• 关键词: PYI; Automatic; Locality; Management; Scaleable

Agarwal Parallel computers can be made both scalable and easily programmable through architectures that exploit and automatically manage communication locality. The goal of this research is to discover and to evaluate techniques for automatic locality management in scalable multiprocessors. As the vehicle for this research, an experimental parallel machine called the Alewife is being implemented. Alewife employs techniques for: 1. communication latency minimization, using scalable coherent caches and software partitioning and placement of programs, and 2. communication latency tolerance, using a new rapid-context- switching processor architecture. Alewife implements a new protocol called "limitless directories" for scalable cache coherence. This scheme uses a combination of hardware and software techniques to realize the performance of a full-map directory with the memory overhead of a limited directory. A rapid-context-switching processor called Sparcle is also being designed. Sparcle can switch in about 10 cycles to another thread when it suffers a cache miss that requires service over the interconnection network. The major goal for this grant period is to get a small prototype Alewife system operational, including the hardware as well as the entire software system.

通过利用和自动管理通信局部性的体系结构，并行计算机既可扩展又易于编程。本研究的目标是发现和评估可扩展多处理器中的自动位置管理技术。作为这项研究的载体，一台名为Alewife的实验性并行机器正在实施中。Alewife运用了以下技巧：通信延迟最小化，使用可伸缩的一致缓存和软件分区和程序的放置；通信延迟容忍，使用一种新的快速上下文切换处理器架构。Alewife实现了一种名为“无限目录”的新协议，用于可扩展的缓存一致性。该方案采用硬件和软件相结合的技术，以有限目录的内存开销实现全映射目录的性能。一款名为Sparcle的快速上下文切换处理器也正在设计中。当Sparcle遇到需要通过互连网络提供服务的缓存丢失时，它可以在大约10个周期内切换到另一个线程。这一资助期的主要目标是获得一个小型的Alewife系统原型，包括硬件和整个软件系统。