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Execution of Data-Parallel Programs on Coarse-Grained Reconfigurable Architecture Hardware

机译:在粗粒度可重构体系结构硬件上执行数据并行程序

摘要

A GPGPU-compatible architecture combines a coarse-grain reconfigurable fabric (CGRF) with a dynamic dataflow execution model to accelerate execution throughput of massively thread-parallel code. The CGRF distributes computation across a fabric of functional units. The compute operations are statically mapped to functional units, and an interconnect is configured to transfer values between functional units.
机译:与GPGPU兼容的体系结构将粗粒度可重新配置结构(CGRF)与动态数据流执行模型结合在一起,以加快大规模线程并行代码的执行吞吐量。 CGRF将计算分布在多个功能单元之间。计算操作静态映射到功能单元,并且互连配置为在功能单元之间传输值。

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