Title :
High Throughput Compression of Double-Precision Floating-Point Data
Author :
Burtscher, Martin ; Ratanaworabhan, Paruj
Author_Institution :
Sch. of Electr. & Comput. Eng., Cornell Univ., Ithaca, NY
Abstract :
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 PLML At comparable compression ratios, it compresses and decompresses 8 to 300 times faster than the other five algorithms
Keywords :
data compression; FPC; double-precision floating-point data; high throughput compression; linear streams; lossless compression algorithm; Compression algorithms; Computer crashes; Counting circuits; Data compression; Data engineering; Encoding; Flexible printed circuits; Scientific computing; Throughput; Writing;
Conference_Titel :
Data Compression Conference, 2007. DCC '07
Conference_Location :
Snowbird, UT
Print_ISBN :
0-7695-2791-4
DOI :
10.1109/DCC.2007.44