基于MPI的二进制LDPC码编解码分布式处理
Distributed Processing for Encoding and Decoding of Binary LDPC codes using MPI
摘要：
低密度奇偶检验（LDPC）码是在通信系统中用于前向纠错（FEC）的线性纠错码。但是，LDPC码的编码和解码需要密集的计算，使得其难以在基于通用软件的信号处理系统中实际使用。为了加速LDPC码的编码和解码，使用消息传递接口（MPI）在多个多核CPU上执行分布式处理。实现是使用流处理和批处理机制和执行时间为两种实现进行比较w.r.t变化的CPU数量和每个CPU的核心数。分布式处理的性能评估是通过执行时间w.r.t.处理器（CPU核心）数量的增加。
英文摘要：
Low Density Parity Check (LDPC) codes are linear error correcting codes used in communication systems for Forward Error Correction (FEC). But, intensive computation is required for encoding and decoding of LDPC codes, making it difficult for practical usage in general purpose software based signal processing systems. In order to accelerate the encoding and decoding of LDPC codes, distributed processing over multiple multi-core CPUs using Message Passing Interface (MPI) is performed. Implementation is done using Stream Processing and Batch Processing mechanisms and the execution time for both implementations is compared w.r.t variation in number of CPUs and number of cores per CPU. Performance evaluation of distributed processing is shown by variation in execution time w.r.t. increase in number of processors (CPU cores).
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