@inproceedings{0c10eb17098f45a4b636baaa3013a2b7,
title = "Exploiting data compression in collective I/O techniques",
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.",
author = "Rosa Filgueira and Singh, {David E.} and Pichel, {Juan C.} and Jesus Carretero",
year = "2008",
doi = "10.1109/CLUSTR.2008.4663811",
language = "English",
isbn = "9781424426409",
series = "Proceedings - IEEE International Conference on Cluster Computing, ICCC",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "479--485",
booktitle = "Proceedings of the 2008 IEEE International Conference on Cluster Computing, CCGRID 2008",
address = "United States",
note = "2008 IEEE International Conference on Cluster Computing, ICCC 2008 ; Conference date: 29-09-2008 Through 01-10-2008",
}