Res-DNN: A Residue Number System-Based DNN Accelerator Unit

Samimi, N; Kamal, M; Afzali-Kusha, A; Pedram, M

Kamal, M (corresponding author), Univ Tehran, Sch Elect & Comp Engn, Coll Engn, Tehran 1439957131, Iran.

IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS, 2020; 67 (2): 658

Abstract

In this article, a technique, based on using Residue Number System (RNS) is suggested to improve the energy efficiency of Deep Neural Networks (DNNs).......

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