采用线性8位C-2C阶梯的32.2 TOPS/W SRAM内存宏用于22nm的电荷域计算,用于边缘推断

Hechen Wang, Renzhi Liu, R. Dorrance, D. Dasalukunte, Xiaosen Liu, D. Lake, B. Carlton, May Wu
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引用次数: 14

摘要

提出了一种基于sram的模拟内存计算宏的22纳米CMOS工艺。通过引入基于C-2C电容阶梯的电荷域计算方案,CiM原型芯片在一个时钟周期内实现了2k倍累积(MAC)运算,并在输入激活和重量方面实现了32.2 TOPS/W的峰值能量效率和4.0 TOPS/mm2的峰值面积效率,精度为8位。在测试芯片实现过程中,分析了各种模拟损害因素,以确保足够高的多位线性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A 32.2 TOPS/W SRAM Compute-in-Memory Macro Employing a Linear 8-bit C-2C Ladder for Charge Domain Computation in 22nm for Edge Inference
This paper presents an SRAM-based analog Compute-in-Memory (CiM) macro in 22 nm CMOS process. By introducing a C-2C capacitor ladder-based charge domain computing scheme, the CiM prototype chip demonstrates 2k multiply-accumulation (MAC) operations in one clock cycle and achieves 32.2 TOPS/W peak energy efficiency and 4.0 TOPS/mm2 peak area efficiency with 8-bit precision in both input activation and weight. A variety of analog impairment factors were analyzed during the testchip implementation to ensure sufficiently high multibit linearity.
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