作为H.264帧内编码加速引擎的CUDA GPU架构的评价

R. Husemann, V. Roesler, J. V. D. Lima, M. Gobbi
{"title":"作为H.264帧内编码加速引擎的CUDA GPU架构的评价","authors":"R. Husemann, V. Roesler, J. V. D. Lima, M. Gobbi","doi":"10.1145/2526188.2526230","DOIUrl":null,"url":null,"abstract":"Currently the high computational complexity makes it very difficult to produce a whole high definition real-time H.264 encoder solution, for conventional personal computer platform, based only on single-threaded software implementation. Considering that, the current paper analyses the potential of using modern general purpose graphical processing technologies, such as NVIDIA CUDA ® platform, as acceleration engines to improve the overall performance of a computer based H.264 intra video encoder. Performed experiments allowed discriminating the real gains when replacing a CPU based only solution by a GPU identifying some practical bottlenecks related with that solution. The most efficient proposal was finally compared with the original H.264/AVC reference code and the optimized x264 open source library codec, registering significant performance gains (in same cases higher than 7.6x).","PeriodicalId":114454,"journal":{"name":"Brazilian Symposium on Multimedia and the Web","volume":"192 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Evaluation of CUDA GPU architecture as H.264 intra coding acceleration engine\",\"authors\":\"R. Husemann, V. Roesler, J. V. D. Lima, M. Gobbi\",\"doi\":\"10.1145/2526188.2526230\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Currently the high computational complexity makes it very difficult to produce a whole high definition real-time H.264 encoder solution, for conventional personal computer platform, based only on single-threaded software implementation. Considering that, the current paper analyses the potential of using modern general purpose graphical processing technologies, such as NVIDIA CUDA ® platform, as acceleration engines to improve the overall performance of a computer based H.264 intra video encoder. Performed experiments allowed discriminating the real gains when replacing a CPU based only solution by a GPU identifying some practical bottlenecks related with that solution. The most efficient proposal was finally compared with the original H.264/AVC reference code and the optimized x264 open source library codec, registering significant performance gains (in same cases higher than 7.6x).\",\"PeriodicalId\":114454,\"journal\":{\"name\":\"Brazilian Symposium on Multimedia and the Web\",\"volume\":\"192 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-11-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Brazilian Symposium on Multimedia and the Web\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/2526188.2526230\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Brazilian Symposium on Multimedia and the Web","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2526188.2526230","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3

摘要

目前,基于单线程软件实现的传统个人计算机平台,由于计算复杂度高,很难产生完整的高清实时H.264编码器解决方案。考虑到这一点,本文分析了使用现代通用图形处理技术(如NVIDIA CUDA®平台)作为加速引擎来提高基于H.264内部视频编码器的计算机整体性能的潜力。执行的实验允许区分在用GPU替换基于CPU的解决方案时的实际收益,识别与该解决方案相关的一些实际瓶颈。最后,将最有效的方案与原始的H.264/AVC参考代码和优化的x264开源库编解码器进行比较,显示出显著的性能提升(在相同情况下高于7.6倍)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Evaluation of CUDA GPU architecture as H.264 intra coding acceleration engine
Currently the high computational complexity makes it very difficult to produce a whole high definition real-time H.264 encoder solution, for conventional personal computer platform, based only on single-threaded software implementation. Considering that, the current paper analyses the potential of using modern general purpose graphical processing technologies, such as NVIDIA CUDA ® platform, as acceleration engines to improve the overall performance of a computer based H.264 intra video encoder. Performed experiments allowed discriminating the real gains when replacing a CPU based only solution by a GPU identifying some practical bottlenecks related with that solution. The most efficient proposal was finally compared with the original H.264/AVC reference code and the optimized x264 open source library codec, registering significant performance gains (in same cases higher than 7.6x).
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信