使用事后因果关系跟踪分析数据流程序

S. Brunet, M. Mattavelli, J. Janneck
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引用次数: 23

摘要

数据流的自然表示、并行性和组合性使数据流成为表达广泛的流和媒体处理应用程序的有吸引力的编程模型,并使MPEG和ISO将其最新的视频编码标准建立在该模型的基础上。本文描述并比较了以数据流程序表示的信号处理算法优化的方法和度量。我们的方法基于对轨迹的分析,并解决了一些复杂性挑战,这些挑战来自于评估实际应用所需的非常大的数据集。在MPEG-4 SP和AVC/H两个大型案例研究中,对方法和实验结果进行了演示和评估。264视频解码器。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Profiling of Dataflow Programs Using Post Mortem Causation Traces
The natural representation of data streams, parallelism, and composition has made dataflow an attractive programming model for expressing a wide range of stream and media processing applications, and has led MPEG and ISO to base their latest video coding standards on this model. This paper describes and compares methodologies and metrics for the optimization of signal processing algorithms represented as dataflow programs. Our approach is based on the analysis of traces and addresses some of the complexity challenges that arise from the very large data sets that are required for evaluating real-world applications. The methodology and experimental results are demonstrated and evaluated in two at-size case studies, an MPEG-4 SP and an AVC/H.264 video decoders.
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