• Complex
  • Title
  • Keyword
  • Abstract
  • Scholars
  • Journal
  • ISSN
  • Conference
成果搜索

author:

Hu, Wei (Hu, Wei.) [1] (Scholars:胡炜) | Zhang, Hangze (Zhang, Hangze.) [2] | Wei, Rongshan (Wei, Rongshan.) [3] (Scholars:魏榕山) | Chen, Qunchao (Chen, Qunchao.) [4]

Indexed by:

Scopus SCIE

Abstract:

Conventional sense amplifiers limit the performance of current RRAM computing-in-memory (CIM) macro circuits, resulting in high latency and energy consumption. This paper introduces a multi-bit quantization technology low-latency voltage sense amplifier (MQL-VSA). Firstly, the multi-bit quantization technology enhances circuit quantization efficiency, reducing the number of operational states in conventional VSA. Secondly, by simplifying the sequential logic circuits in conventional VSA, the complexity of sequential control signals is reduced, further diminishing readout latency. Experimental results demonstrate that the MQL-VSA achieves a 1.40-times decrease in readout latency and a 1.28-times reduction in power consumption compared to conventional VSA. Additionally, an 8-bit input, 8-bit weight, 14-bit output macro circuit utilizing MQL-VSA exhibited a 1.11times latency reduction and 1.04-times energy savings.

Keyword:

computing-in-memory low latency RRAM voltage sense amplifier

Community:

  • [ 1 ] [Hu, Wei]Fuzhou Univ, Sch Phys & Informat Engn, Fuzhou 350116, Peoples R China
  • [ 2 ] [Zhang, Hangze]Fuzhou Univ, Sch Phys & Informat Engn, Fuzhou 350116, Peoples R China
  • [ 3 ] [Wei, Rongshan]Fuzhou Univ, Sch Phys & Informat Engn, Fuzhou 350116, Peoples R China
  • [ 4 ] [Chen, Qunchao]Fuzhou Univ, Sch Phys & Informat Engn, Fuzhou 350116, Peoples R China

Reprint 's Address:

  • [Chen, Qunchao]Fuzhou Univ, Sch Phys & Informat Engn, Fuzhou 350116, Peoples R China;;

Show more details

Related Keywords:

Source :

ELECTRONICS

ISSN: 2079-9292

Year: 2024

Issue: 2

Volume: 13

2 . 6 0 0

JCR@2023

Cited Count:

WoS CC Cited Count: 1

SCOPUS Cited Count: 1

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 1

Online/Total:282/10033835
Address:FZU Library(No.2 Xuyuan Road, Fuzhou, Fujian, PRC Post Code:350116) Contact Us:0591-22865326
Copyright:FZU Library Technical Support:Beijing Aegean Software Co., Ltd. 闽ICP备05005463号-1