Exploiting data compression in collective I/O techniques

Rosa Filgueira, D. E. Singh, J. C. Pichel, J. Carretero
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引用次数: 6

Abstract

This paper presents Two-Phase Compressed I/O (TPC I/O,) an optimization of the Two-Phase collective I/O technique from ROMIO, the most popular MPI-IO implementation. In order to reduce network traffic, TPC I/O employs LZO algorithm to compress and decompress exchanged data in the inter-node communication operations. The compression algorithm has been fully implemented in the MPI collective technique, allowing to dynamically use (or not) compression. Compared with Two-Phase I/O, Two-Phase Compressed I/O obtains important improvements in the overall execution time for many of the considered scenarios.
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在集体I/O技术中利用数据压缩
本文提出了两阶段压缩I/O (TPC I/O),这是对最流行的MPI-IO实现的两阶段集合I/O技术的优化。为了减少网络流量,TPC I/O采用LZO算法对节点间通信操作中交换的数据进行压缩和解压缩。压缩算法已在MPI集合技术中完全实现,允许动态使用(或不使用)压缩。与两阶段I/O相比,在许多考虑的场景中,两阶段压缩I/O在总体执行时间上得到了重要的改进。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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