Today's article comes from the journal of Advanced Intelligent Systems. The authors are Song et al., from Hanyang University in South Korea. In this paper the authors bring us up to the bleeding-edge of hardware acceleration for ML. This paper explores CPU, GPU, NPU, CIM and neuromorphic acceleration, and explains how each one is well-suited to specific use-cases.
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