{"title":"一种基于560个六方耦合环振子的概率自退火计算结构用于求解组合优化问题","authors":"Ibrahim Ahmed, Po-Wei Chiu, C. Kim","doi":"10.1109/VLSICircuits18222.2020.9162869","DOIUrl":null,"url":null,"abstract":"NP-hard combinatorial optimization problems (COPs) are very expensive to solve with traditional computers. COPs can be mapped to a coupled spin network where the ground state of the system is the solution. We propose a scalable truly coupled CMOS oscillator-based integrated system mimicking a spin network to solve COPs in hardware. Our simple latch-based coupling design finds solutions of max-cut problems with 85%–100% accuracy 104-106 times faster than commercial software running on a CPU.","PeriodicalId":252787,"journal":{"name":"2020 IEEE Symposium on VLSI Circuits","volume":"133 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"26","resultStr":"{\"title\":\"A Probabilistic Self-Annealing Compute Fabric Based on 560 Hexagonally Coupled Ring Oscillators for Solving Combinatorial Optimization Problems\",\"authors\":\"Ibrahim Ahmed, Po-Wei Chiu, C. Kim\",\"doi\":\"10.1109/VLSICircuits18222.2020.9162869\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"NP-hard combinatorial optimization problems (COPs) are very expensive to solve with traditional computers. COPs can be mapped to a coupled spin network where the ground state of the system is the solution. We propose a scalable truly coupled CMOS oscillator-based integrated system mimicking a spin network to solve COPs in hardware. Our simple latch-based coupling design finds solutions of max-cut problems with 85%–100% accuracy 104-106 times faster than commercial software running on a CPU.\",\"PeriodicalId\":252787,\"journal\":{\"name\":\"2020 IEEE Symposium on VLSI Circuits\",\"volume\":\"133 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"26\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 IEEE Symposium on VLSI Circuits\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/VLSICircuits18222.2020.9162869\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE Symposium on VLSI Circuits","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/VLSICircuits18222.2020.9162869","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Probabilistic Self-Annealing Compute Fabric Based on 560 Hexagonally Coupled Ring Oscillators for Solving Combinatorial Optimization Problems
NP-hard combinatorial optimization problems (COPs) are very expensive to solve with traditional computers. COPs can be mapped to a coupled spin network where the ground state of the system is the solution. We propose a scalable truly coupled CMOS oscillator-based integrated system mimicking a spin network to solve COPs in hardware. Our simple latch-based coupling design finds solutions of max-cut problems with 85%–100% accuracy 104-106 times faster than commercial software running on a CPU.
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