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ISSCC 2021Session 16 · COMPUTATION IN MEMORYMemory28nm CMOS

A 28nm 384kb 6T-SRAM Computation-in-Memory Macro with 8b Precision for AI Edge Chips VGBL= (VMM15 × CGBL15 + VMM14 × CGBL14 + … + VMM0 × CGBL0)/(CGBL15 + CGBL14 + … + CGBL0). The voltage of GBLB (VGBLB) is the pMACV of 2bIN×1bW with 16-channel accumulation using the LSB part of a 4b-input (IN10).

⚡ 本页包含 AI 生成的分析内容,仅供参考

📋 论文概要

该论文提出了一款基于28nm工艺的384kb 6T-SRAM计算存储一体化宏单元,支持8位精度,用于AI边缘芯片。通过采用一种结合3位SAR和2位单斜坡ADC的Ph-ADC结构以及顺序低MACV优先方案,在实现高精度乘累加向量读取的同时降低了功耗和面积开销。

💡 主要创新点

核心指标
null
工艺节点
28nm CMOS
重要性
发表年份
ISSCC 2021

🏷 关键词

计算存储一体化SRAMAI边缘芯片ADC精度

📄 原文摘要

Ping-Chun Wu1, Yen-Lin Chung1, Li-Yang Hung1, Jin-Sheng Ren1, Tianlong Pan1, Sih-Han Li2, Shih-Chieh Chang2, Shyh-Shyuan Sheu2, Wei-Chung Lo2, Chih-I Wu2, Xin Si1, Chung-Chuan Lo1, Ren-Shuo Liu1, Chih-Cheng Hsieh1, Kea-Tiong Tang1, Meng-Fan Chang1,3 Figure 16.3.4 shows the proposed Ph-ADC’s operation: comprising of a 3b SAR ADC and a 2b single-slope (SS) ADC, with a sequential low-MACV-first scheme and a custom reference voltage generator. SAR ADCs are commonly used in CIMs for high-precision MACV readout operations, at the expense of a high area overhead and large power consumption due to their large capacitance (32C for 5b conversion). On the other hand, SS-ADCs require less area, but impose long latency: 31 sensing phases for a 5b conversion. To reduce power consumption, area overhead, and latency, the Ph-ADC uses an SS-ADC to convert the 2 least significant bits (LSBs), and a SAR-ADC to convert

👥 作者与机构

Jian-Wei Su*1,2, Yen-Chi Chou*1, Ruhui Liu1, Ta-Wei Liu1, Pei-Jung Lu1,

分类:Memory · 年份:ISSCC 2021