A 137.5 TOPS/W SRAM Compute-in-Memory Macro with 9-b Memory Cell-Embedded ADCs and Signal Margin Enhancement Techniques for AI Edge Applications
Xiaomeng Wang, Fengshi Tian, Xizi Chen, Jiakun Zheng, Xuejiao Liu,, Fengbin Tu, Jie Yang, Mohamad Sawan, Kwang-Ting Cheng, Chi-Ying Tsui

TL;DR
This paper introduces a high-precision SRAM-based compute-in-memory macro with embedded ADCs and margin enhancement techniques, achieving 137.5 TOPS/W for AI edge applications by enabling efficient 4x4-bit MAC operations with high linearity and accuracy.
Contribution
It presents a novel SRAM macro with integrated ADCs and margin enhancement methods, improving energy efficiency, area, and computation accuracy for AI edge computing.
Findings
Achieves 137.5 TOPS/W energy efficiency.
Supports 4x4-bit MAC operations with 9-bit output.
Enhances accuracy with MAC-folding and boosted-clipping techniques.
Abstract
In this paper, we propose a high-precision SRAM-based CIM macro that can perform 4x4-bit MAC operations and yield 9-bit signed output. The inherent discharge branches of SRAM cells are utilized to apply time-modulated MAC and 9-bit ADC readout operations on two bit-line capacitors. The same principle is used for both MAC and A-to-D conversion ensuring high linearity and thus supporting large number of analog MAC accumulations. The memory cell-embedded ADC eliminates the use of separate ADCs and enhances energy and area efficiency. Additionally, two signal margin enhancement techniques, namely the MAC-folding and boosted-clipping schemes, are proposed to further improve the CIM computation accuracy.
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Taxonomy
TopicsAdvanced Memory and Neural Computing · Semiconductor materials and devices · Low-power high-performance VLSI design
