A Segmented Precision Configurable Computing-in-Memory Macro With Dual-Edge Time-Domain Structure

In computing-in-memory (CIM) architecture, it is necessary to reliably adjust the precision according to the specific demands of the application, enabling a trade-off between high precision and high energy efficiency. Additionally, when performing multi-bit computations, nonlinearity errors between different bits can adversely affect the network’s accuracy. Therefore, this work proposes an 8Kb dual-edge time-domain CIM macro, which incorporates a segmented precision configuration scheme. By mapping the high and low 4 bits of the 8-bit input to the rising and falling edges of the pulse for independent computation, this design mitigates nonlinearity errors between high and low bits. The precision of multiplication-and-accumulation (MAC) operations for both high and low bits can be independently adjusted, ensuring sufficient accuracy while enhancing energy efficiency. This work attains an energy efficiency ranging from 8.03 to 13.20 TOPS/W in the end. For the CIFAR-10 dataset, when the inputs and weights are of 8-bit precision, this work reaches an inference accuracy of 90.27%-91.92%.

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Publication Details

Journal
IEEE Solid-State Circuits Letters
Published
2025-01-01
DOI
https://doi.org/10.1109/lssc.2025.3558928
Primary Topic
Advanced Memory and Neural Computing
Type
article
Field-Weighted Citation Impact
0.00

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article

A Segmented Precision Configurable Computing-in-Memory Macro With Dual-Edge Time-Domain Structure

Yuan Wang, Chang Xue, Yandong He, Gang Du et al.
IEEE Solid-State Circuits Letters
Advanced Memory and Neural Computing
article

A Segmented Precision Configurable Computing-in-Memory Macro With Dual-Edge Time-Domain Structure

Yuan Wang, Chang Xue, Yandong He, Gang Du, Siyuan He, Youming Yang
article en

Abstract

In computing-in-memory (CIM) architecture, it is necessary to reliably adjust the precision according to the specific demands of the application, enabling a trade-off between high precision and high energy efficiency. Additionally, when performing multi-bit computations, nonlinearity errors between different bits can adversely affect the network’s accuracy. Therefore, this work proposes an 8Kb dual-edge time-domain CIM macro, which incorporates a segmented precision configuration scheme. By mapping the high and low 4 bits of the 8-bit input to the rising and falling edges of the pulse for independent computation, this design mitigates nonlinearity errors between high and low bits. The precision of multiplication-and-accumulation (MAC) operations for both high and low bits can be independently adjusted, ensuring sufficient accuracy while enhancing energy efficiency. This work attains an energy efficiency ranging from 8.03 to 13.20 TOPS/W in the end. For the CIFAR-10 dataset, when the inputs and weights are of 8-bit precision, this work reaches an inference accuracy of 90.27%-91.92%.

IEEE Solid-State Circuits LettersVol. 8
Peking University (CN)
National Key Research and Development Program of China
Affordable and clean energy
Openalex Percentile: Top 94%
Advanced Memory and Neural Computing
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A Segmented Precision Configurable Computing-in-Memory Macro With Dual-Edge Time-Domain Structure — Yuan Wang, Chang Xue, et al. · IEEE Solid-State Circuits Letters (2025) | TGRS Research Map | TGRS