Reusing GEMM Hardware for Efficient Execution of Depthwise Separable Convolution on ASIC-Based DNN Accelerators

Susmita Dey Manasi, Suvadeep Banerjee, Abhijit Davare, Anton A. Sorokin, Steven M. Burns, Desmond A. Kirkpatrick, Sachin S. Sapatnekar. Reusing GEMM Hardware for Efficient Execution of Depthwise Separable Convolution on ASIC-Based DNN Accelerators. In Atsushi Takahashi 0001, editor, Proceedings of the 28th Asia and South Pacific Design Automation Conference, ASPDAC 2023, Tokyo, Japan, January 16-19, 2023. pages 475-482, ACM, 2023. [doi]

Abstract

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