A 15T SRAM Cell-Based Fully-Digital Computing-in-Memory Macro Supporting High Parallelism and Fine-Grained Simultaneous Read + Write + MAC Operations

IF 2 Q3 COMPUTER SCIENCE, HARDWARE & ARCHITECTURE
Hao Guo;Jiawei Chen;Hailong Jiao
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引用次数: 0

Abstract

A 15-transistor (15T) SRAM cell-based fully-digital computing-in-memory (CIM) macro is proposed for artificial intelligence accelerations. The CIM macro not only supports simultaneous read + write + multiply-accumulate (MAC) operations, but also supports ultrawide-range voltage scaling, digital design flow, and cell-wise bit interleaving. A fine-grained weight update scheme is introduced to perform write and MAC operations simultaneously. A specialized two’s complement processing strategy is proposed to enable efficient signed MAC operations without in-array sign extension. Fabricated in a 55-nm CMOS technology, the proposed fully-digital CIM macro enhances the peak energy efficiency by up to $3.46\times $ compared with the state-of-the-art digital CIM schemes.
基于15T SRAM单元的全数字内存计算宏,支持高并行性和细粒度同时读、写、MAC操作
提出了一种基于15晶体管(15T) SRAM单元的全数字内存计算宏,用于人工智能加速。CIM宏不仅支持同时的读+写+乘-累加(MAC)操作,还支持超宽范围的电压缩放、数字设计流和逐单元的位交错。引入了一种细粒度的权重更新方案来同时执行写操作和MAC操作。提出了一种特殊的二补码处理策略,在不扩展数组内符号的情况下实现高效的带符号MAC操作。采用55纳米CMOS技术制造,与最先进的数字CIM方案相比,所提出的全数字CIM宏将峰值能源效率提高了3.46倍。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
IEEE Solid-State Circuits Letters
IEEE Solid-State Circuits Letters Engineering-Electrical and Electronic Engineering
CiteScore
4.30
自引率
3.70%
发文量
52
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