Automatic Management of Locality in a Scalable Cache- Coherent Multiprocessor: The MIT Alewife Machine

可扩展缓存一致性多处理器中局部性的自动管理：MIT Alewife Machine

• 批准号: 9012773
• 负责人: Anant Agarwal
• 金额: $ 153.78万
• 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: 1991-02-01 至 1995-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9012773&HistoricalAwards=false
• 关键词: Automatic; Management; Locality; Scalable; Cache

Agarwal The goal of the Alewife experiment is to demonstrate that a parallel computer system can be made both scalable and easily programmable. To achieve this end, a scalable parallel computer system called Alewife is being designed, built and evaluated as the experimental vehicle for this project. The system is a mesh- connected set of processor nodes, each consisting of a slightly modified SPARC processor, called SPARCLE, some main memory and cache, a Caltech route chip, and a custom memory management circuit, all on a custom PC board.

Agarwal Alewife实验的目的是证明并行计算机系统可以同时具有可扩展性和易于编程性。 为了实现这一目标，一个可扩展的并行计算机系统，称为Alewife正在设计，建造和评估作为该项目的实验车辆。 该系统是一组网状连接的处理器节点，每个节点由一个略经修改的称为SPARCLE的EQUIPMENT处理器、一些主存和缓存、一个加州理工学院的路由芯片和一个定制的内存管理电路组成，所有这些都在一个定制的PC板上。