PYI: Automatic Locality Management in Scaleable Multiprocessors

通过利用和自动管理通信局部性的体系结构，可以使Agarwal并行计算机既可扩展又易于编程。这项研究的目标是发现和评估可伸缩多处理器中的自动局部性管理技术。作为这项研究的载体，一台名为阿莱伊斯的实验并行机正在实施中。一位妻子采用了以下技术：1.使用可伸缩的相干高速缓存和软件分区以及程序的放置来最小化通信延迟，以及2.使用新的快速上下文切换处理器体系结构来容忍通信延迟。为了实现可伸缩的高速缓存一致性，ALEWAY实现了一种名为“无限目录”的新协议。该方案结合了硬件和软件技术，以有限目录的存储开销实现了全映射目录的性能。一种名为Sparcle的快速上下文切换处理器也在设计中。当Sparcle遇到需要通过互连网络提供服务的缓存未命中时，它可以在大约10个周期内切换到另一个线程。这一授权期的主要目标是使一个小型原型系统运行起来，包括硬件和整个软件系统。

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.