Martin Jurecko, J. Kocisová, J. Buša, T. Kasanický, M. Domiter, M. Zvada
{"title":"基于OpenCL标准的GPU性能评估框架","authors":"Martin Jurecko, J. Kocisová, J. Buša, T. Kasanický, M. Domiter, M. Zvada","doi":"10.1109/IC-NC.2010.32","DOIUrl":null,"url":null,"abstract":"There are many projects focused on performance measurements of GPUs but there is no unifying test framework that could be used for evaluating generic floating point intensive applications. This work describes the testing suite for evaluating GPUs that measures raw performance and numerical precision of a subset of OpenCL operations, and analyzes results obtained from several commonly available high-end GPUs.","PeriodicalId":375145,"journal":{"name":"2010 First International Conference on Networking and Computing","volume":"7 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-11-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Evaluation Framework for GPU Performance Based on OpenCL Standard\",\"authors\":\"Martin Jurecko, J. Kocisová, J. Buša, T. Kasanický, M. Domiter, M. Zvada\",\"doi\":\"10.1109/IC-NC.2010.32\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"There are many projects focused on performance measurements of GPUs but there is no unifying test framework that could be used for evaluating generic floating point intensive applications. This work describes the testing suite for evaluating GPUs that measures raw performance and numerical precision of a subset of OpenCL operations, and analyzes results obtained from several commonly available high-end GPUs.\",\"PeriodicalId\":375145,\"journal\":{\"name\":\"2010 First International Conference on Networking and Computing\",\"volume\":\"7 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-11-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 First International Conference on Networking and Computing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IC-NC.2010.32\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 First International Conference on Networking and Computing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IC-NC.2010.32","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Evaluation Framework for GPU Performance Based on OpenCL Standard
There are many projects focused on performance measurements of GPUs but there is no unifying test framework that could be used for evaluating generic floating point intensive applications. This work describes the testing suite for evaluating GPUs that measures raw performance and numerical precision of a subset of OpenCL operations, and analyzes results obtained from several commonly available high-end GPUs.
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