Amitesh Sridharan;Jyotishman Saikia;Anupreetham;Fan Zhang;Jae-Sun Seo;Deliang Fan
{"title":"PS-IMC: A 2385.7-TOPS/W/b Precision Scalable In-Memory Computing Macro With Bit-Parallel Inputs and Decomposable Weights for DNNs","authors":"Amitesh Sridharan;Jyotishman Saikia;Anupreetham;Fan Zhang;Jae-Sun Seo;Deliang Fan","doi":"10.1109/LSSC.2024.3369058","DOIUrl":null,"url":null,"abstract":"We present a fully digital multiply and accumulate (MAC) in-memory computing (IMC) macro demonstrating one of the fastest flexible precision integer-based MACs to date. The design boasts a new bit-parallel architecture enabled by a 10T bit-cell capable of four AND operations and a decomposed precision data flow that decreases the number of shift–accumulate operations, bringing down the overall adder hardware cost by \n<inline-formula> <tex-math>$1.57\\times $ </tex-math></inline-formula>\n while maintaining 100% utilization for all supported precision. It also employs a carry save adder tree that saves 21% of adder hardware. The 28-nm prototype chip achieves a speed-up of \n<inline-formula> <tex-math>$2.6\\times $ </tex-math></inline-formula>\n, \n<inline-formula> <tex-math>$10.8\\times $ </tex-math></inline-formula>\n, \n<inline-formula> <tex-math>$2.42\\times $ </tex-math></inline-formula>\n, and \n<inline-formula> <tex-math>$3.22\\times $ </tex-math></inline-formula>\n over prior SoTA in 1bW:1bI, 1bW:4bI, 4bW:4bI, and 8bW:8bI MACs, respectively.","PeriodicalId":13032,"journal":{"name":"IEEE Solid-State Circuits Letters","volume":"7 ","pages":"102-105"},"PeriodicalIF":2.2000,"publicationDate":"2024-02-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Solid-State Circuits Letters","FirstCategoryId":"1085","ListUrlMain":"https://ieeexplore.ieee.org/document/10443989/","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"COMPUTER SCIENCE, HARDWARE & ARCHITECTURE","Score":null,"Total":0}
引用次数: 0
Abstract
We present a fully digital multiply and accumulate (MAC) in-memory computing (IMC) macro demonstrating one of the fastest flexible precision integer-based MACs to date. The design boasts a new bit-parallel architecture enabled by a 10T bit-cell capable of four AND operations and a decomposed precision data flow that decreases the number of shift–accumulate operations, bringing down the overall adder hardware cost by
$1.57\times $
while maintaining 100% utilization for all supported precision. It also employs a carry save adder tree that saves 21% of adder hardware. The 28-nm prototype chip achieves a speed-up of
$2.6\times $
,
$10.8\times $
,
$2.42\times $
, and
$3.22\times $
over prior SoTA in 1bW:1bI, 1bW:4bI, 4bW:4bI, and 8bW:8bI MACs, respectively.