{"title":"移动多核处理器上语音识别的并行化与分析","authors":"Seung Mo Cho, D. Im, H. Song","doi":"10.1109/CCNC.2009.4784794","DOIUrl":null,"url":null,"abstract":"Speech recognition is an important application which requires large amount of computation and data. We parallelized speech recognition on ARM11-mpcore, one of the mobile multi-core processors. We achieved 1.92 times speed-up using four cores. We argue that this is sufficiently close to the theoretical best regarding Amdahl's law. We also evaluated it on Intel Core2Quad to derive requirements for future mobile multi-core platforms.","PeriodicalId":181188,"journal":{"name":"2009 6th IEEE Consumer Communications and Networking Conference","volume":"113 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-01-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Parallelization and analysis of speech recognition on mobile multi-core processor\",\"authors\":\"Seung Mo Cho, D. Im, H. Song\",\"doi\":\"10.1109/CCNC.2009.4784794\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Speech recognition is an important application which requires large amount of computation and data. We parallelized speech recognition on ARM11-mpcore, one of the mobile multi-core processors. We achieved 1.92 times speed-up using four cores. We argue that this is sufficiently close to the theoretical best regarding Amdahl's law. We also evaluated it on Intel Core2Quad to derive requirements for future mobile multi-core platforms.\",\"PeriodicalId\":181188,\"journal\":{\"name\":\"2009 6th IEEE Consumer Communications and Networking Conference\",\"volume\":\"113 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-01-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 6th IEEE Consumer Communications and Networking Conference\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CCNC.2009.4784794\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 6th IEEE Consumer Communications and Networking Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CCNC.2009.4784794","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Parallelization and analysis of speech recognition on mobile multi-core processor
Speech recognition is an important application which requires large amount of computation and data. We parallelized speech recognition on ARM11-mpcore, one of the mobile multi-core processors. We achieved 1.92 times speed-up using four cores. We argue that this is sufficiently close to the theoretical best regarding Amdahl's law. We also evaluated it on Intel Core2Quad to derive requirements for future mobile multi-core platforms.