基于矩阵运算的多核网络编码并行化

Simon Wunderlich, Juan A. Cabrera, F. Fitzek, M. Pedersen
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引用次数: 6

摘要

网络编码有潜力改善当前和未来的通信系统(包括运输和存储)的性能,目前甚至考虑用于同一板上的单个处理器之间的通信架构或距离很近的不同板。尽管单核实现已经显示出与标准编码方法相当的编码速度,但本文通过利用多核架构将网络编码推向了一个新的水平。本文提出的颠覆性思想是打破现有的软件实现和编码方法,采用高性能计算领域高度优化的密集矩阵运算进行网络编码,以提高编码速度。本文提出了一种新的多核架构编码方法,并展示了在商业平台(如四核Raspberry Pi2)上以高达一个完整数量级的编码速度增益。速度增加的增益甚至比Raspberry Pi2的内核数量还要高,因为新引入的方法比照本画册的矩阵操作更好地利用了缓存架构。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Network Coding Parallelization Based on Matrix Operations for Multicore Architectures
Network coding has the potential to improve the performance of current and future communication systems (including transportation and storage) and is currently even considered for communication architectures between the individual processors on same board or different boards in close proximity. Despite the fact that single core implementations show already comparable coding speeds with standard coding approaches, this paper pushes network coding to the next level by exploiting multicore architectures. The disruptive idea presented in the paper is to break with current software implementations and coding approaches and to adopt highly optimized dense matrix operations from the high performance computation field for network coding in order to increase the coding speed. The paper presents the novel coding approach for multicore architectures and shows coding speed gains on a commercial platform such as the Raspberry Pi2 with four cores in the order of up to one full magnitude. The speed increase gain is even higher than the number of cores of the Raspberry Pi2 since the newly introduced approach exploits the cache architecture way better than by-the-book matrix operations.
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