Configurable Deep Learning Accelerator with Bitwise-accurate Training and Verification

Shien-Chun Luo,Kuo-Chiang Chang, Po-Wei Chen,Zhao-Hong Chen

2022 International Symposium on VLSI Design, Automation and Test (VLSI-DAT)（2022）

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摘要

This paper introduces an end-to-end solution to a deep neural network (DNN) inference system. We customize and enrich a family of deep-learning accelerators (DLA) based on the NVIDIA open-source deep-learning accelerator (NVDLA). Our exclusive enhancement includes hardware and software parts. The hardware part is the shared multiplier array of both high-efficient regular and depth-wise convolution...

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关键词

Deep learning,Training,Power demand,Neural networks,Prototypes,Object detection,Very large scale integration

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