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Lookahead Memory Prefetching for CGRAs Using Partial Loop Unrolling

机译:使用部分循环展开的CGRA的超前内存预取

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Coarse Grained Reconfigurable Arrays have become an established approach to provide high computational performance in various environments. Several researchers have found that the achievable performance highly depends on the interface between memory and CGRA. In this contribution we show that a smart prefetching mechanism can increase the performance of the CGRA. At the same time it consumes less hardware resources and energy as state of the art prefetching mechanisms.
机译:粗粒度可重配置阵列已成为一种成熟的方法,可以在各种环境中提供较高的计算性能。几位研究人员发现,可实现的性能在很大程度上取决于内存与CGRA之间的接口。在本文中,我们证明了一种智能的预取机制可以提高CGRA的性能。同时,作为最新的预取机制,它消耗更少的硬件资源和能源。

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