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DTSTAMP:20260522T150111Z
LOCATION:C2/3/4 Ballroom
DTSTART;TZID=America/Chicago:20181115T083000
DTEND;TZID=America/Chicago:20181115T170000
UID:submissions.supercomputing.org_SC18_sess324_post235@linklings.com
SUMMARY:Improving Error-Bounded Lossy Compression for Cosmological N-Body 
 Simulation
DESCRIPTION:Sihuan Li (University of California, Riverside); Sheng Di (Arg
 onne National Laboratory); Xin Liang and Zizhong Chen (University of Calif
 ornia, Riverside); and Franck Cappello (Argonne National Laboratory)\n\nCo
 smological simulations may produce extremely large amount of data, such th
 at its successful run depends on large storage capacity and huge I/O bandw
 idth, especially in the exascale computing scale. Effective error-bounded 
 lossy compressors with both high compression ratios and low data distortio
 n can significantly reduce the total data size while guaranteeing the data
  valid for post-analysis. In this poster, we propose a novel, efficient co
 mpression model for cosmological N-body simulation framework, by combining
  the advantages of both space-based compression and time-based compression
 . The evaluation with a well-known cosmological simulation code shows that
  our proposed solution can get much higher compression quality than other 
 existing state-of-the-art compressors, with comparable compression/decompr
 ession rates.\n\nRegistration Category: Tech Program Reg Pass, Exhibits Re
 g Pass\n\n
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