{"title":"图形处理单元的循环并行化自动化","authors":"A. Doroshenko, O. Beketov, O. Yatsenko","doi":"10.20535/2708-4930.1.2020.216044","DOIUrl":null,"url":null,"abstract":"A technology that allows extending GPU capabilities to deal with data volumes that outfit internal GPU’s memory capacity is proposed. It involves loop tiling and data serialization and can be applied to utilize clusters consisting of several GPUs. Applicability criterion is specified and a semi-automatic proof-of-concept software tool is implemented. The experiment to demonstrate the feasibility of the proposed technology is described.","PeriodicalId":411692,"journal":{"name":"Information, Computing and Intelligent systems","volume":"20 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"LOOP PARALLELIZATION AUTOMATION FOR GRAPHICS PROCESSING UNITS\",\"authors\":\"A. Doroshenko, O. Beketov, O. Yatsenko\",\"doi\":\"10.20535/2708-4930.1.2020.216044\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A technology that allows extending GPU capabilities to deal with data volumes that outfit internal GPU’s memory capacity is proposed. It involves loop tiling and data serialization and can be applied to utilize clusters consisting of several GPUs. Applicability criterion is specified and a semi-automatic proof-of-concept software tool is implemented. The experiment to demonstrate the feasibility of the proposed technology is described.\",\"PeriodicalId\":411692,\"journal\":{\"name\":\"Information, Computing and Intelligent systems\",\"volume\":\"20 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Information, Computing and Intelligent systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.20535/2708-4930.1.2020.216044\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Information, Computing and Intelligent systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.20535/2708-4930.1.2020.216044","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
LOOP PARALLELIZATION AUTOMATION FOR GRAPHICS PROCESSING UNITS
A technology that allows extending GPU capabilities to deal with data volumes that outfit internal GPU’s memory capacity is proposed. It involves loop tiling and data serialization and can be applied to utilize clusters consisting of several GPUs. Applicability criterion is specified and a semi-automatic proof-of-concept software tool is implemented. The experiment to demonstrate the feasibility of the proposed technology is described.
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号
