{"title":"COMBI GMDH算法在CPU和GPU上的循环并行实现","authors":"S. Yefimenko","doi":"10.1109/CSIT56902.2022.10000562","DOIUrl":null,"url":null,"abstract":"the paper presents a parallel implementation of recurrent combinatorial algorithm which enables the efficient utilization of available computing resources both the host CPU cores and CUDA kernels. A series of test experiments shows an increase in the comparative efficiency of the algorithm with an increase in the task complexity.","PeriodicalId":282561,"journal":{"name":"2022 IEEE 17th International Conference on Computer Sciences and Information Technologies (CSIT)","volume":"458 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The Recurrent-and-Parallel Implementation of COMBI GMDH algorithm on CPU and GPU\",\"authors\":\"S. Yefimenko\",\"doi\":\"10.1109/CSIT56902.2022.10000562\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"the paper presents a parallel implementation of recurrent combinatorial algorithm which enables the efficient utilization of available computing resources both the host CPU cores and CUDA kernels. A series of test experiments shows an increase in the comparative efficiency of the algorithm with an increase in the task complexity.\",\"PeriodicalId\":282561,\"journal\":{\"name\":\"2022 IEEE 17th International Conference on Computer Sciences and Information Technologies (CSIT)\",\"volume\":\"458 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-11-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 IEEE 17th International Conference on Computer Sciences and Information Technologies (CSIT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CSIT56902.2022.10000562\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE 17th International Conference on Computer Sciences and Information Technologies (CSIT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CSIT56902.2022.10000562","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The Recurrent-and-Parallel Implementation of COMBI GMDH algorithm on CPU and GPU
the paper presents a parallel implementation of recurrent combinatorial algorithm which enables the efficient utilization of available computing resources both the host CPU cores and CUDA kernels. A series of test experiments shows an increase in the comparative efficiency of the algorithm with an increase in the task complexity.