{"title":"具有双模乘法和最大值舍入加法树的RRAM数字内存计算宏","authors":"Wang Ye;Hanghang Gao;Zhidao Zhou;Linfang Wang;Weizeng Li;Zhi Li;Jinshan Yue;Xiaoxin Xu;Jianguo Yang;Hongyang Hu;Chunmeng Dou","doi":"10.1109/TVLSI.2025.3545866","DOIUrl":null,"url":null,"abstract":"Implementing digital computing-in-memory (DCIM) based on resistive memory (RRAM) faces several critical challenges due to the small signal margin, large device variations, and large energy- and area-overhead induced by the digital adder tree (AT). To address these issues, we propose an RRAM DCIM macro based on the standard foundry one-transistor-one-resistor (1T1R) cell array featuring: 1) dual-mode MAC operation for efficiency- or accuracy-oriented optimization; 2) margin-enhanced digitized unit (MEDU) to amplify the signal ratio; and 3) maximum value rounding AT (MVR-AT) to reduce its power- and area-overhead. A test chip is demonstrated using a 180 nm CMOS process to verify the concept. It achieves a peak energy efficiency (EF) of 63.08 TOPS/W in the efficiency-oriented mode and a minimum error rate of 1.58% in the accuracy-oriented mode. Their combination can meet the requirements of different workloads in AI computing tasks to optimize the overall power consumption with negligible accuracy loss.","PeriodicalId":13425,"journal":{"name":"IEEE Transactions on Very Large Scale Integration (VLSI) Systems","volume":"33 6","pages":"1779-1783"},"PeriodicalIF":3.1000,"publicationDate":"2025-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"An RRAM Digital Computing-in-Memory Macro With Dual-Mode Multiplication and Maximum Value Rounding Adder Tree\",\"authors\":\"Wang Ye;Hanghang Gao;Zhidao Zhou;Linfang Wang;Weizeng Li;Zhi Li;Jinshan Yue;Xiaoxin Xu;Jianguo Yang;Hongyang Hu;Chunmeng Dou\",\"doi\":\"10.1109/TVLSI.2025.3545866\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Implementing digital computing-in-memory (DCIM) based on resistive memory (RRAM) faces several critical challenges due to the small signal margin, large device variations, and large energy- and area-overhead induced by the digital adder tree (AT). To address these issues, we propose an RRAM DCIM macro based on the standard foundry one-transistor-one-resistor (1T1R) cell array featuring: 1) dual-mode MAC operation for efficiency- or accuracy-oriented optimization; 2) margin-enhanced digitized unit (MEDU) to amplify the signal ratio; and 3) maximum value rounding AT (MVR-AT) to reduce its power- and area-overhead. A test chip is demonstrated using a 180 nm CMOS process to verify the concept. It achieves a peak energy efficiency (EF) of 63.08 TOPS/W in the efficiency-oriented mode and a minimum error rate of 1.58% in the accuracy-oriented mode. Their combination can meet the requirements of different workloads in AI computing tasks to optimize the overall power consumption with negligible accuracy loss.\",\"PeriodicalId\":13425,\"journal\":{\"name\":\"IEEE Transactions on Very Large Scale Integration (VLSI) Systems\",\"volume\":\"33 6\",\"pages\":\"1779-1783\"},\"PeriodicalIF\":3.1000,\"publicationDate\":\"2025-03-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE Transactions on Very Large Scale Integration (VLSI) Systems\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://ieeexplore.ieee.org/document/10929074/\",\"RegionNum\":2,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"COMPUTER SCIENCE, HARDWARE & ARCHITECTURE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Transactions on Very Large Scale Integration (VLSI) Systems","FirstCategoryId":"5","ListUrlMain":"https://ieeexplore.ieee.org/document/10929074/","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"COMPUTER SCIENCE, HARDWARE & ARCHITECTURE","Score":null,"Total":0}
An RRAM Digital Computing-in-Memory Macro With Dual-Mode Multiplication and Maximum Value Rounding Adder Tree
Implementing digital computing-in-memory (DCIM) based on resistive memory (RRAM) faces several critical challenges due to the small signal margin, large device variations, and large energy- and area-overhead induced by the digital adder tree (AT). To address these issues, we propose an RRAM DCIM macro based on the standard foundry one-transistor-one-resistor (1T1R) cell array featuring: 1) dual-mode MAC operation for efficiency- or accuracy-oriented optimization; 2) margin-enhanced digitized unit (MEDU) to amplify the signal ratio; and 3) maximum value rounding AT (MVR-AT) to reduce its power- and area-overhead. A test chip is demonstrated using a 180 nm CMOS process to verify the concept. It achieves a peak energy efficiency (EF) of 63.08 TOPS/W in the efficiency-oriented mode and a minimum error rate of 1.58% in the accuracy-oriented mode. Their combination can meet the requirements of different workloads in AI computing tasks to optimize the overall power consumption with negligible accuracy loss.
期刊介绍:
The IEEE Transactions on VLSI Systems is published as a monthly journal under the co-sponsorship of the IEEE Circuits and Systems Society, the IEEE Computer Society, and the IEEE Solid-State Circuits Society.
Design and realization of microelectronic systems using VLSI/ULSI technologies require close collaboration among scientists and engineers in the fields of systems architecture, logic and circuit design, chips and wafer fabrication, packaging, testing and systems applications. Generation of specifications, design and verification must be performed at all abstraction levels, including the system, register-transfer, logic, circuit, transistor and process levels.
To address this critical area through a common forum, the IEEE Transactions on VLSI Systems have been founded. The editorial board, consisting of international experts, invites original papers which emphasize and merit the novel systems integration aspects of microelectronic systems including interactions among systems design and partitioning, logic and memory design, digital and analog circuit design, layout synthesis, CAD tools, chips and wafer fabrication, testing and packaging, and systems level qualification. Thus, the coverage of these Transactions will focus on VLSI/ULSI microelectronic systems integration.