{"title":"Estimating of computation time of parallel algorithm of computations of dynamic processes in GPU systems","authors":"M. Cegielski","doi":"10.1109/CPEE.2015.7333326","DOIUrl":null,"url":null,"abstract":"A parallel process of computation of dynamic processes is based on a diakoptic theory of the portioning of the system into the sub-systems, that are computed independent of each other, in the fixed time intervals. Every process is defined by the complexity of computation. This complexity is changed in the time of process of computations. These properties are utilized to implement computation in parallel systems. Currently the growth of parallel systems has been observed for several years. In this article, idea of GPU computations and parallel algorithms are presented. The results of computation on tested parallel system are shown and interpreted.","PeriodicalId":135123,"journal":{"name":"2015 16th International Conference on Computational Problems of Electrical Engineering (CPEE)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2015-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 16th International Conference on Computational Problems of Electrical Engineering (CPEE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CPEE.2015.7333326","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
A parallel process of computation of dynamic processes is based on a diakoptic theory of the portioning of the system into the sub-systems, that are computed independent of each other, in the fixed time intervals. Every process is defined by the complexity of computation. This complexity is changed in the time of process of computations. These properties are utilized to implement computation in parallel systems. Currently the growth of parallel systems has been observed for several years. In this article, idea of GPU computations and parallel algorithms are presented. The results of computation on tested parallel system are shown and interpreted.
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