Exploiting data compression in collective I/O techniques

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.

• Type: Conference
• Year: 2008
• Where: CLUSTER
• Authors: Rosa Filgueira, David E. Singh, Juan Carlos Pichel, Jesús Carretero
• Keywords: CLUSTER 2008, Cluster Computing, TPC I/O, Two-phase Collective I/o, Two-Phase Compressed I/O