Locality-Aware GPU Register File

IEEE Computer Architecture Letters(2019)

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摘要
In many emerging applications such as deep learning, large data set is essential to generate reliable solutions. In these big data workloads, memory latency and bandwidth are the main performance bottlenecks. In this article, we propose a locality-aware GPU register file that enables data sharing for memory-intensive big data workloads on GPUs without relying on small on-chip memories. We exploit ...
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关键词
Big Data,Graphics processing units,Deep learning,Bandwidth,System-on-chip,Registers
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