{"title":"A Programmable and Reconfigurable CMOS Analog Hopfield Network for NP-Hard Problems","authors":"Pranav O. Mathews;Jennifer O. Hasler","doi":"10.1109/TVLSI.2024.3480958","DOIUrl":null,"url":null,"abstract":"Analog Hopfield networks perform continuous energy minimization, leading to efficient and near-optimal solutions to nonpolynomial (NP)-hard problems. However, practical implementations suffer from scaling and connectivity issues. A programmable and reconfigurable analog Hopfield network is presented that addresses these challenges through a reconfigurable Manhattan architecture with a high-precision 14-bit floating-gate (FG) compute-in-memory (CiM) fabric. The network is implemented on a field programmable analog array (FPAA) and experimentally tested on three different NP-hard problems with different scaling challenges: Weighted Max-Cut (high connectivity and weight precision), traveling salesman problem (TSP) (high connectivity and medium weight precision), and Boolean Satisfiability/3SAT (low connectivity and weight precision) where it solved each problem optimally in microseconds.","PeriodicalId":13425,"journal":{"name":"IEEE Transactions on Very Large Scale Integration (VLSI) Systems","volume":"33 3","pages":"821-830"},"PeriodicalIF":2.8000,"publicationDate":"2024-10-29","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/10737881/","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}
引用次数: 0
Abstract
Analog Hopfield networks perform continuous energy minimization, leading to efficient and near-optimal solutions to nonpolynomial (NP)-hard problems. However, practical implementations suffer from scaling and connectivity issues. A programmable and reconfigurable analog Hopfield network is presented that addresses these challenges through a reconfigurable Manhattan architecture with a high-precision 14-bit floating-gate (FG) compute-in-memory (CiM) fabric. The network is implemented on a field programmable analog array (FPAA) and experimentally tested on three different NP-hard problems with different scaling challenges: Weighted Max-Cut (high connectivity and weight precision), traveling salesman problem (TSP) (high connectivity and medium weight precision), and Boolean Satisfiability/3SAT (low connectivity and weight precision) where it solved each problem optimally in microseconds.
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.