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Research Initiation Award: Massively Parallel Processing Based on the Decoupled Synchronization Computation Model of Execution

Research Initiation Award: Massively Parallel Processing Based on the Decoupled Synchronization Computation Model of Execution
研究启动奖:基于执行解耦同步计算模型的大规模并行处理
批准号:
9309572
负责人:
Paraskevas Evripidou
金额:
$9.63万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
1993
资助国家:
美国
项目状态:
已结题
起止时间:
1993-08-15 至 1995-03-31

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9309572 Evripidou The Decoupled Data-Driven (D3) machine separates the synchronization and computation portions of a program and executes them asynchronously. The compiler generates threads that utilize the processor pipeline efficiently by reducing pipeline stalls within a thread. Priority is given to threads which have their data in close proximity (i.e. in the cache or registers). Decoupling synchronization and computation ensures the execution pipeline is not interrupted by long synchronization events. The overall goal of this project is the implementation of the computation model into an abstract machine that will execute on existing large scale shared memory multiprocessors. Achieving this goal requires the development of: a microtasking environment that supports the abstract machine on commercial machines, a multi-language compiler that generates code for the abstract machine, and a hardware thread synchronization unit. ***
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