{"title":"Implemetation of image classification CNN using multi thread GPU","authors":"Seong-Hyeon Han, Kwang-Yeob Lee","doi":"10.1109/ISOCC.2017.8368904","DOIUrl":null,"url":null,"abstract":"This study implemented an image classification CNN using a multi-thread GPU. For the CNN, the CIFAR10 dataset was used, and the multi-thread GPU had 256 threads. Using the 256 threads limited to each layer, allocation and parallel processing were conducted. The image classification CNN took 807 ms for computation.","PeriodicalId":248826,"journal":{"name":"2017 International SoC Design Conference (ISOCC)","volume":"500 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 International SoC Design Conference (ISOCC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISOCC.2017.8368904","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 9
Abstract
This study implemented an image classification CNN using a multi-thread GPU. For the CNN, the CIFAR10 dataset was used, and the multi-thread GPU had 256 threads. Using the 256 threads limited to each layer, allocation and parallel processing were conducted. The image classification CNN took 807 ms for computation.
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
