{"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}
引用次数: 0
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.