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2007 Data Compression Conference (DCC'07)
High Throughput Compression of Double-Precision Floating-Point Data
Snowbird, Utah
March 27-March 29
ISBN: 0-7695-2791-4
Martin Burtscher, Cornell University, Ithaca, NY
Paruj Ratanaworabhan, Cornell University, Ithaca, NY
This paper describes FPC, a lossless compression algorithm for linear streams of 64-bit floating-point data. FPC is designed to compress well while at the same time meeting the high throughput demands of scientific computing environments. On our thirteen datasets, it achieves a substantially higher average compression ratio than BZIP2, DFCM, FSD, GZIP, and PLMI. At comparable compression ratios, it compresses and decompresses 8 to 300 times faster than the other five algorithms.
Citation:
Martin Burtscher, Paruj Ratanaworabhan, "High Throughput Compression of Double-Precision Floating-Point Data," dcc, pp.293-302, 2007 Data Compression Conference (DCC'07), 2007
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