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多媒体基准测试程序中的流并行性分析 被引量：2

Stream Parallelism Analysis for Multimedia Benchmark
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摘要 在分析多媒体基准测试程序Mediabench特征的基础上,以Imagine流处理器为例讨论了流体系结构对多媒体应用所提供的软硬件支持,并且利用流编程模型对多媒体应用中存在的流并行性进行了详细的剖析,最后通过对3个典型的多媒体应用进行流并行程序设计,在Imagine的时钟精确模拟器Isim上测试得到了多媒体应用在流体系结构上可以获得的加速性能。 We analyzed the characteristics of multimedia benchmark Mediabench and discussed the stream architecture how to provide hardware and software support for multimedia applications taking Imagine stream processor as example. Then we made use of stream programming model to analyze the stream parallelism existed in multimedia applications and select three representative applications for programming stream applications. Through making experiment on Isim simulator,we got the speedup performance of multimedia application working on Imagine processor.
作者 周丽萍 安虹 徐光 王耀彬
机构地区 中国科学技术大学计算机科学与技术系 中国科学院计算机系统结构重点实验室
出处 《计算机科学》 CSCD 北大核心 2009年第5期287-290,共4页 Computer Science
基金 国家自然科学基金重点项目(60633040) 国家973计划项目(2005CB321601) 国家863重大项目(2006AA01A102-5-2) 教育部-英特尔信息技术专项科研基金项目(MOE-INTEL-08-07)资助
关键词 多媒体基准测试程序 流体系结构 流并行性 Multimedia benchmark, Stream architecture, Stream parallelism
分类号 TP338 [自动化与计算机技术—计算机系统结构]
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参考文献5

  • 1Kapasi U J,Dally W J.The Imagine Stream Processor[C]//Proceedings of the 2002 International Conference on Computer Design.September 2002:16-18
  • 2Lee Chunho,Potkonjak M,Mangione-Smith W H.MediaBench:A Tool for Evaluating and Synthesizing Multimedia and Communications Systems[C]//Proceedings of the International Symposium on Microarchitecture.IEEE Micro-30.IEEE Computer Society Press,1997:330-335
  • 3Fritts J,Wolf W,Liu K Understanding multimedia application characteristics for designing programmable media processors[C] //SPIE Media Processors'99.January 1999
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  • 5Laawrence Rabiner,Biing-Hwang Juang语音识别基本原理[M].北京:清华大学出版社,1999

同被引文献17

  • 1Wiegand T, Sullivan G J, Bj?ntegaard G, et al. Overview of the H.264/AVC Video Coding Standard[J]. IEEE Transactions on Circuits and Systems for Video Technology, 2003, 13(7): 560- 576.
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  • 3Alvarez M, Salami E, Ramirez A, et al. HD-VideoBench: A Benchmark for Evaluating High Definition Digital Video Applications[C]//Proc. of International Symposium on Workload Characterization. Boston, USA: IEEE Press, 2007: 120-125.
  • 4Vatol D, Kulikov D, Parsh A. Sixth MPEG-4 AVC/H.264 Video Codecs Comparison——Short Version[EB/OL]. (2010- 05-25). http://compression.ru/video/codec_comparison/h264_ 2010/#Video_Codecs.
  • 5Partt W K, Kane J, Andrews H C. Hadamard Transform Image Coding[J]. Proceedings of the IEEE, 1969, 57(1): 58-68.
  • 6Lin Weiyao, Panusopone K, Baylon D, et al. A New Class- based Early Termination Method for Fast Motion Estimation in Video Coding[C]//Proc. of IEEE International Symposium on Circuits and Systems. [S. l.]: IEEE Press, 2009: 625-628.
  • 7Ko Y, Yi Y, Ha S. An Efficient Parallel Motion Estimation Algorithm and X264 Parallelization in CUDA[C]//Proc. of Conference on Design and Architectures for Signal and Image Processing. [S. l.]: IEEE Press, 2011: 1-8.
  • 8Kgil T, Souza S D, Saidi A, et al. PicoServer: Using 3D Stacking Technology to Enable a Compact Energy Efficient Chip Multiprocessor[C]//Proc. of the 12th International Conference on Architectural Support for Programming Languages and Operating Systems. New York, USA: ACM Press, 2006: 117-128.
  • 9Lee J, Moon S, Sung W. H.264 Decoder Optimization Exploiting SIMD Instructions[C]//Proc. of IEEE Asia-Pacific Conference on Circuits and Systems. [S. l.]: IEEE Press, 2004: 1149-1152.
  • 10孙康.可重构计算相关技术研究[D]浙江大学,浙江大学2007.

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计算机科学
2009年 第5期

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