{"title":"图形处理单元实现的隐马尔可夫模型","authors":"T. Gultyaeva, A. Sautin, V. Uvarov","doi":"10.1109/APEIE.2014.7040749","DOIUrl":null,"url":null,"abstract":"The article presents a method of Graphics Processing Unit (GPU) implementation of Hidden Markov Models (HMM) for the task of multidimensional sequences classification. The execution times of method on Central Processing Unit (CPU) and GPU were compared.","PeriodicalId":202524,"journal":{"name":"2014 12th International Conference on Actual Problems of Electronics Instrument Engineering (APEIE)","volume":"92 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Graphics processing unit implementation of Hidden Markov models\",\"authors\":\"T. Gultyaeva, A. Sautin, V. Uvarov\",\"doi\":\"10.1109/APEIE.2014.7040749\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The article presents a method of Graphics Processing Unit (GPU) implementation of Hidden Markov Models (HMM) for the task of multidimensional sequences classification. The execution times of method on Central Processing Unit (CPU) and GPU were compared.\",\"PeriodicalId\":202524,\"journal\":{\"name\":\"2014 12th International Conference on Actual Problems of Electronics Instrument Engineering (APEIE)\",\"volume\":\"92 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 12th International Conference on Actual Problems of Electronics Instrument Engineering (APEIE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/APEIE.2014.7040749\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 12th International Conference on Actual Problems of Electronics Instrument Engineering (APEIE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/APEIE.2014.7040749","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Graphics processing unit implementation of Hidden Markov models
The article presents a method of Graphics Processing Unit (GPU) implementation of Hidden Markov Models (HMM) for the task of multidimensional sequences classification. The execution times of method on Central Processing Unit (CPU) and GPU were compared.