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Abstract: The parallelization of matrix multiplication on multicore accelerators divides a matrix into several partitions. The existing design deploys an independent DMA transfer for each core to ...
Abstract: Accelerating matrix multiplication is crucial to achieve high performance in many application domains, including neural networks, graph analytics, and scientific computing. These ...
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