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김보열(Bo Yeal Kim),류수정(Soojung Ryu),이혁재(Hyuk-Jae Lee) 대한전자공학회 2021 대한전자공학회 학술대회 Vol.2021 No.6
Due to the growing interest in accelerating deep learning training, vector processors are becoming an essential element in deep learning accelerators. In this paper, unlike previous studies focused on matrix multiplication accelerator, the effect of the register file size in the vector processor on the performance of the entire accelerator was investigated. Results show that the vector processor with 16-entry register file can achieve the best energy efficiency for given workloads, which is 45% smaller and 53% power efficient compared to the 32-entry register file baseline architecture with same performance.