{"title":"Acceleration of AES Encryption with OpenCL","authors":"Yuheng Yuan, Zhenzhong He, Zheng Gong, Weidong Qiu","doi":"10.1109/AsiaJCIS.2014.19","DOIUrl":null,"url":null,"abstract":"The occurrence of multi-core processors has made parallel techniques popular. OpenCL, enabling access to the computing power of multi-platforms, taking advantage of the parallel feature of computing devices, gradually obtains researchers' favor. However, when using parallel techniques, which computation granularity and memory allocation strategies to choose bother developers the most. To solve this problem, many researchers had implemented experiments on Nvidia GPUs and found out the best solution for using CUDA. When it comes to use OpenCL on AMD GPU, to the best of our knowledge, less solutions have been proposed in the literature. Therefore, we conduct several experiments to demonstrate the relation between computation granularity and memory allocation methods of the input data when using OpenCL on AES encoding. In granularity of 16 bytes/thread, the encryption throughput of our experiment can achieve 5 Gbps. Compared with previous works, the ratio between the price of GPU and performance from our experiment is promising.","PeriodicalId":354543,"journal":{"name":"2014 Ninth Asia Joint Conference on Information Security","volume":"36 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 Ninth Asia Joint Conference on Information Security","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/AsiaJCIS.2014.19","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6
Abstract
The occurrence of multi-core processors has made parallel techniques popular. OpenCL, enabling access to the computing power of multi-platforms, taking advantage of the parallel feature of computing devices, gradually obtains researchers' favor. However, when using parallel techniques, which computation granularity and memory allocation strategies to choose bother developers the most. To solve this problem, many researchers had implemented experiments on Nvidia GPUs and found out the best solution for using CUDA. When it comes to use OpenCL on AMD GPU, to the best of our knowledge, less solutions have been proposed in the literature. Therefore, we conduct several experiments to demonstrate the relation between computation granularity and memory allocation methods of the input data when using OpenCL on AES encoding. In granularity of 16 bytes/thread, the encryption throughput of our experiment can achieve 5 Gbps. Compared with previous works, the ratio between the price of GPU and performance from our experiment is promising.
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