{"title":"基于gpu的波前并行处理及其在视频编码算法中的应用","authors":"Biju George, Ben Ashbaugh","doi":"10.1145/3078155.3078177","DOIUrl":null,"url":null,"abstract":"In this paper, we present our experiences in designing, implementing and evaluating efficient applications of the wavefront pattern for block-level motion estimation in video encoding algorithms using OpenCL™ kernels on Intel® Processor Graphics™. We implement multiple solutions exploring different performance considerations, evaluate their pros and cons, present performance data, and provide our recommendations.","PeriodicalId":267581,"journal":{"name":"Proceedings of the 5th International Workshop on OpenCL","volume":"24 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Wavefront Parallel Processing on GPUs with an Application to Video Encoding Algorithms\",\"authors\":\"Biju George, Ben Ashbaugh\",\"doi\":\"10.1145/3078155.3078177\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we present our experiences in designing, implementing and evaluating efficient applications of the wavefront pattern for block-level motion estimation in video encoding algorithms using OpenCL™ kernels on Intel® Processor Graphics™. We implement multiple solutions exploring different performance considerations, evaluate their pros and cons, present performance data, and provide our recommendations.\",\"PeriodicalId\":267581,\"journal\":{\"name\":\"Proceedings of the 5th International Workshop on OpenCL\",\"volume\":\"24 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-05-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 5th International Workshop on OpenCL\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3078155.3078177\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 5th International Workshop on OpenCL","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3078155.3078177","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Wavefront Parallel Processing on GPUs with an Application to Video Encoding Algorithms
In this paper, we present our experiences in designing, implementing and evaluating efficient applications of the wavefront pattern for block-level motion estimation in video encoding algorithms using OpenCL™ kernels on Intel® Processor Graphics™. We implement multiple solutions exploring different performance considerations, evaluate their pros and cons, present performance data, and provide our recommendations.
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