Enhancing Utilization of SIMD-Like Accelerator for Sparse Convolutional Neural Networks
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DOI: 10.1109/tvlsi.2019.2897052
Abstract: Although the existing single-instruction–multiple-data-like (SIMD) accelerators can handle the compressed format of sparse convolutional neural networks, the sparse and irregular distributions of nonzero elements cause low utilization of multipliers in a processing engine (PE) and… read more here.
Keywords: like accelerator; neural networks; accelerator; sparse convolutional ... See more keywords