An Energy-efficient Floating-Point DNN Processor using Heterogeneous Computing Architecture with Exponent-Computing-in-Memory

Juhyoung Lee, Jihoon Kim, Wooyoung Jo, Sangyeob Kim, Sangjin Kim, Donghyeon Han, Jinsu Lee, H. Yoo
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Abstract

Abstract of Proposed FP CIM Processor (1) Heterogeneous FP Computing Arch. : Separate optimization of FP computing: Realize 2 cycles FP MAC w/ CIM (2) Exponent Computing-in-Memory: In-memory AND/NOR + BL charge reusing: Total memory power 46.4% 2) Mantissa Free Exponent Calculation: Removing redundant normalization: Total MAC power 14.4%
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基于内存指数计算异构计算架构的高能效浮点DNN处理器
提出的FP CIM处理器摘要(1)异构FP计算架构。:独立优化FP计算:实现2周期FP MAC w/ CIM(2)内存指数计算:内存和/NOR + BL电荷重用:内存总功率46.4% 2)无尾数指数计算:去除冗余归一化:MAC总功率14.4%
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