{"title":"基于agent的GPU情绪扩散模型","authors":"Xiaotong Wang, Zhen Liu, Su Deng","doi":"10.1109/ICSESS.2014.6933747","DOIUrl":null,"url":null,"abstract":"By the analysis of problems of mood spread diffusion, combining the theory of Agent, Agent-Based mood diffusion model was established, using CUDA programming tool, which is suitable for parallel computing of the part to carry on the design implementation, thus proving the GPU computing can improve the efficiency of the model calculation.","PeriodicalId":6473,"journal":{"name":"2014 IEEE 5th International Conference on Software Engineering and Service Science","volume":"91 1","pages":"1056-1059"},"PeriodicalIF":0.0000,"publicationDate":"2014-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Agent-based mood spread diffusion model for GPU\",\"authors\":\"Xiaotong Wang, Zhen Liu, Su Deng\",\"doi\":\"10.1109/ICSESS.2014.6933747\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"By the analysis of problems of mood spread diffusion, combining the theory of Agent, Agent-Based mood diffusion model was established, using CUDA programming tool, which is suitable for parallel computing of the part to carry on the design implementation, thus proving the GPU computing can improve the efficiency of the model calculation.\",\"PeriodicalId\":6473,\"journal\":{\"name\":\"2014 IEEE 5th International Conference on Software Engineering and Service Science\",\"volume\":\"91 1\",\"pages\":\"1056-1059\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-10-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 IEEE 5th International Conference on Software Engineering and Service Science\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICSESS.2014.6933747\",\"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 IEEE 5th International Conference on Software Engineering and Service Science","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSESS.2014.6933747","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
By the analysis of problems of mood spread diffusion, combining the theory of Agent, Agent-Based mood diffusion model was established, using CUDA programming tool, which is suitable for parallel computing of the part to carry on the design implementation, thus proving the GPU computing can improve the efficiency of the model calculation.
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