Low-Cost 7T-SRAM Compute-In-Memory Design based on Bit-Line Charge-Sharing based Analog-To-Digital Conversion

Kyeongho Lee, Joonhyung Kim, J. Park
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引用次数: 2

Abstract

Although compute-in-memory (CIM) is considered as one of the promising solutions to overcome memory wall problem, the variations in analog voltage computation and analog-to-digital-converter (ADC) cost still remain as design challenges. In this paper, we present a 7T SRAM CIM that seamlessly supports multiply-accumulation (MAC) operation between 4-bit inputs and 8-bit weights. In the proposed CIM, highly parallel and robust MAC operations are enabled by exploiting the bit-line charge-sharing scheme to simultaneously process multiple inputs. For the readout of analog MAC values, instead of adopting the conventional ADC structure, the bit-line charge-sharing is efficiently used to reduce the implementation cost of the reference voltage generations. Based on the in-SRAM reference voltage generation and the parallel analog readout in all columns, the proposed CIM efficiently reduces ADC power and area cost. In addition, the variation models from Monte-Carlo simulations are also used during training to reduce the accuracy drop due to process variations. The implementation of 256×64 7T SRAM CIM using 28nm CMOS process shows that it operates in the wide voltage range from 0.6V to 1.2V with energy efficiency of 45.8-TOPS/W at 0.6V.
基于位线电荷共享模数转换的低成本7T-SRAM内存计算设计
尽管内存计算(CIM)被认为是克服存储墙问题的一种有前途的解决方案,但模拟电压计算和模数转换器(ADC)成本的变化仍然是设计上的挑战。在本文中,我们提出了一个7T SRAM CIM,无缝支持4位输入和8位权重之间的乘法累积(MAC)操作。在所提出的CIM中,通过利用位线电荷共享方案同时处理多个输入,实现了高度并行和鲁棒的MAC操作。对于模拟MAC值的读出,有效地利用位线电荷共享来降低参考电压发生器的实现成本,而不是采用传统的ADC结构。基于sram内基准电压产生和各列并行模拟读数,该CIM有效地降低了ADC的功耗和面积成本。此外,在训练过程中还使用蒙特卡罗模拟的变化模型,以减少由于过程变化而导致的精度下降。利用28nm CMOS工艺实现256×64 7T SRAM CIM,结果表明其工作电压范围为0.6V ~ 1.2V, 0.6V时的能量效率为45.8 tops /W。
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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