{"title":"基于cmos的lpc解码器约束感知退火","authors":"Eslam Elmitwalli;Zeljko Ignjatovic;Selçuk Köse","doi":"10.1109/TCSII.2025.3532665","DOIUrl":null,"url":null,"abstract":"Ising machines are efficient hardware solvers for combinatorial optimization problems (COPs). In CMOS-based Ising machines, the annealing process is crucial for efficiently navigating complex energy landscapes in mapped COPs such as Max-Cut and low-density parity-check (LDPC) decoding. QuBRIM, a CMOS-based Ising machine, has recently been utilized to solve LDPC decoding problems using multi-body interactions. A constraint-aware annealing schedule is proposed that increases the efficiency of solving the mapped COP. The proposed annealing method uses knowledge of the LDPC decoding problem to guide the annealing process. The annealing schedule is demonstrated through high-level simulations. The proposed methodology demonstrates a normalized energy efficiency (NEE) of 0.68 pJ/bit/iteration, which is a 1.8x improvement over random bit-flip annealing, and an 80% increase in throughput.","PeriodicalId":13101,"journal":{"name":"IEEE Transactions on Circuits and Systems II: Express Briefs","volume":"72 3","pages":"479-483"},"PeriodicalIF":4.0000,"publicationDate":"2025-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Constraint-Aware Annealing for CMOS-Based Ising Machine LDPC Decoder\",\"authors\":\"Eslam Elmitwalli;Zeljko Ignjatovic;Selçuk Köse\",\"doi\":\"10.1109/TCSII.2025.3532665\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Ising machines are efficient hardware solvers for combinatorial optimization problems (COPs). In CMOS-based Ising machines, the annealing process is crucial for efficiently navigating complex energy landscapes in mapped COPs such as Max-Cut and low-density parity-check (LDPC) decoding. QuBRIM, a CMOS-based Ising machine, has recently been utilized to solve LDPC decoding problems using multi-body interactions. A constraint-aware annealing schedule is proposed that increases the efficiency of solving the mapped COP. The proposed annealing method uses knowledge of the LDPC decoding problem to guide the annealing process. The annealing schedule is demonstrated through high-level simulations. The proposed methodology demonstrates a normalized energy efficiency (NEE) of 0.68 pJ/bit/iteration, which is a 1.8x improvement over random bit-flip annealing, and an 80% increase in throughput.\",\"PeriodicalId\":13101,\"journal\":{\"name\":\"IEEE Transactions on Circuits and Systems II: Express Briefs\",\"volume\":\"72 3\",\"pages\":\"479-483\"},\"PeriodicalIF\":4.0000,\"publicationDate\":\"2025-01-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE Transactions on Circuits and Systems II: Express Briefs\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://ieeexplore.ieee.org/document/10849655/\",\"RegionNum\":2,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"ENGINEERING, ELECTRICAL & ELECTRONIC\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Transactions on Circuits and Systems II: Express Briefs","FirstCategoryId":"5","ListUrlMain":"https://ieeexplore.ieee.org/document/10849655/","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
Constraint-Aware Annealing for CMOS-Based Ising Machine LDPC Decoder
Ising machines are efficient hardware solvers for combinatorial optimization problems (COPs). In CMOS-based Ising machines, the annealing process is crucial for efficiently navigating complex energy landscapes in mapped COPs such as Max-Cut and low-density parity-check (LDPC) decoding. QuBRIM, a CMOS-based Ising machine, has recently been utilized to solve LDPC decoding problems using multi-body interactions. A constraint-aware annealing schedule is proposed that increases the efficiency of solving the mapped COP. The proposed annealing method uses knowledge of the LDPC decoding problem to guide the annealing process. The annealing schedule is demonstrated through high-level simulations. The proposed methodology demonstrates a normalized energy efficiency (NEE) of 0.68 pJ/bit/iteration, which is a 1.8x improvement over random bit-flip annealing, and an 80% increase in throughput.
期刊介绍:
TCAS II publishes brief papers in the field specified by the theory, analysis, design, and practical implementations of circuits, and the application of circuit techniques to systems and to signal processing. Included is the whole spectrum from basic scientific theory to industrial applications. The field of interest covered includes:
Circuits: Analog, Digital and Mixed Signal Circuits and Systems
Nonlinear Circuits and Systems, Integrated Sensors, MEMS and Systems on Chip, Nanoscale Circuits and Systems, Optoelectronic
Circuits and Systems, Power Electronics and Systems
Software for Analog-and-Logic Circuits and Systems
Control aspects of Circuits and Systems.