{"title":"1.0TOPS/W 36核新皮质计算处理器，2.3Tb/s Kautz NoC，用于通用视觉识别","authors":"Chuan-Yung Tsai, Yu-Ju Lee, Chun-Ting Chen, Liang-Gee Chen","doi":"10.1109/ISSCC.2012.6177099","DOIUrl":null,"url":null,"abstract":"In this paper, an NC processor for power-efficient real-time universal visual recognition is proposed with following features: 1) A grey matter-like homogeneous many-core architecture with event-driven hybrid MIMD execution provides 1.0TOPS/W efficient acceleration for NC operations; 2) A white matter-like Kautz NoC provides 2.3Tb/s throughput, fault/congestion avoidance and redundancy-free multicast with 151Tb/s/W NoC power efficiency, which is 2.7-3.9x higher than previous NoC-based visual recognition processors.","PeriodicalId":255282,"journal":{"name":"2012 IEEE International Solid-State Circuits Conference","volume":"23 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"11","resultStr":"{\"title\":\"A 1.0TOPS/W 36-core neocortical computing processor with 2.3Tb/s Kautz NoC for universal visual recognition\",\"authors\":\"Chuan-Yung Tsai, Yu-Ju Lee, Chun-Ting Chen, Liang-Gee Chen\",\"doi\":\"10.1109/ISSCC.2012.6177099\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, an NC processor for power-efficient real-time universal visual recognition is proposed with following features: 1) A grey matter-like homogeneous many-core architecture with event-driven hybrid MIMD execution provides 1.0TOPS/W efficient acceleration for NC operations; 2) A white matter-like Kautz NoC provides 2.3Tb/s throughput, fault/congestion avoidance and redundancy-free multicast with 151Tb/s/W NoC power efficiency, which is 2.7-3.9x higher than previous NoC-based visual recognition processors.\",\"PeriodicalId\":255282,\"journal\":{\"name\":\"2012 IEEE International Solid-State Circuits Conference\",\"volume\":\"23 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-04-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"11\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 IEEE International Solid-State Circuits Conference\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISSCC.2012.6177099\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 IEEE International Solid-State Circuits Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISSCC.2012.6177099","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A 1.0TOPS/W 36-core neocortical computing processor with 2.3Tb/s Kautz NoC for universal visual recognition
In this paper, an NC processor for power-efficient real-time universal visual recognition is proposed with following features: 1) A grey matter-like homogeneous many-core architecture with event-driven hybrid MIMD execution provides 1.0TOPS/W efficient acceleration for NC operations; 2) A white matter-like Kautz NoC provides 2.3Tb/s throughput, fault/congestion avoidance and redundancy-free multicast with 151Tb/s/W NoC power efficiency, which is 2.7-3.9x higher than previous NoC-based visual recognition processors.
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