Yukitaka Abe, Hiroshi Sasaki, S. Kato, Koji Inoue, M. Edahiro, M. Peres
{"title":"Power and performance of GPU-accelerated systems: A closer look","authors":"Yukitaka Abe, Hiroshi Sasaki, S. Kato, Koji Inoue, M. Edahiro, M. Peres","doi":"10.1109/IISWC.2013.6704675","DOIUrl":null,"url":null,"abstract":"In this paper, we have presented a characterization of power and performance for GPU-accelerated systems. We selected four different NVIDIA GPUs from three generations of the GPU architecture in order to demonstrate generality of our contribution. One of our findings is that the power efficiency characteristics differ such that the best configuration is not identical between the GPUs. This evidence encourages future work on the management of power and performance for GPU-accelerated systems to benefit from dynamic voltage and frequency scaling. In future work, we plan to develop a dynamic voltage and frequency scaling algorithm for GPU-accelerated systems.","PeriodicalId":365868,"journal":{"name":"2013 IEEE International Symposium on Workload Characterization (IISWC)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 IEEE International Symposium on Workload Characterization (IISWC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IISWC.2013.6704675","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 7
Abstract
In this paper, we have presented a characterization of power and performance for GPU-accelerated systems. We selected four different NVIDIA GPUs from three generations of the GPU architecture in order to demonstrate generality of our contribution. One of our findings is that the power efficiency characteristics differ such that the best configuration is not identical between the GPUs. This evidence encourages future work on the management of power and performance for GPU-accelerated systems to benefit from dynamic voltage and frequency scaling. In future work, we plan to develop a dynamic voltage and frequency scaling algorithm for GPU-accelerated systems.
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
