用于视频编码应用的多处理器系统

D.S. Iyer, M. Chong, Wentong Cai
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引用次数: 0

摘要

图像编码是成功实现视觉通信应用程序的必要条件。随着增强的多媒体技术的出现,出现了许多视频应用,如多媒体会议、视频点播和dvd。编码是所有视频应用程序的重要组成部分,因此有必要改进编码技术以实现更快的应用程序。本文讨论了负载均衡多处理器系统上的并行视频编码如何有助于将矢量量化等高效编码技术纳入实际应用。本文将讨论两种并行处理平台,即工作站异构网络和TI C40 DSP芯片。它们使用的软件平台分别是并行虚拟机(PVM)编程模型和并行C。还将讨论通过使用PVM来并行C转换和负载平衡对改进性能的影响来集成两种编程模型。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A multi-processor system for video coding applications
Image coding is imperative for successful implementation of visual communications applications. With the emergence of enhanced multimedia technology, numerous video applications have emerged like multimedia conferencing, video on demand and DVDs. Coding is an essential component of all video applications and it becomes necessary to have improved coding techniques for faster applications. This paper discusses how parallel video coding on load balanced multi-processor systems can help in incorporating efficient coding techniques like vector quantization into practical applications. Two parallel processing platforms will be discussed namely the heterogeneous network of workstations and the TI C40 DSP chips. The software platforms used for these are the Parallel Virtual Machines (PVM) programming model and Parallel C respectively. An integration of the two programming models by using a PVM to Parallel C translation and the effect of load balancing for improved performance will also be discussed.
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