SCHEDULE: NOV 16-22, 2013
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Improving the I/O Throughput for Data-Intensive Scientific Applications with Efficient Compression Mechanisms
SESSION: Research Poster Reception
EVENT TYPE: Posters, Electronic Posters, and Education Posters
TIME: 5:15PM - 7:00PM
AUTHOR(S):Dongfang Zhao, Jian Yin, Ioan Raicu
ROOM:Mile High Pre-Function
ABSTRACT:
Today's science is generating significantly larger volume of data than before, making many scientific applications bounded on I/O rather than computation. To reduce the I/O time, data compression is getting more attractive and practical. Most of existing compression techniques are general purpose, and not particularly crafted for scientific applications. In this context, we devise a new compression algorithm by carefully exploiting the characteristics of scientific data, namely the incremental changes to the data. Our proposed algorithm segments the data with different starting points and then store only these increments -- essentially achieving both computationally and space efficiency. We design and implement a real system with the proposed algorithm at the filesystem level, so that the compression and decompression is transparent to the end users, and does not need any modification to the applications. The system is evaluated on a 1024-core IBM BlueGene/P supercomputer with the 128-node GPFS file system.
Chair/Author Details:
Dongfang Zhao - Illinois Institute of Technology
Jian Yin - Pacific Northwest National Laboratory
Ioan Raicu - Illinois Institute of Technology
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