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DTSTART:19700308T020000
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BEGIN:VEVENT
DTSTAMP:20181221T160904Z
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:Poster\nTech Program Reg Pass, Exhibits Reg Pass\n\nImproving 
 Error-Bounded Lossy Compression for Cosmological N-Body Simulation\n\nLi, 
 Di, Liang, Chen, Cappello\n\nCosmological simulations may produce extremel
 y large amount of data, such that its successful run depends on large stor
 age capacity and huge I/O bandwidth, especially in the exascale computing 
 scale. Effective error-bounded lossy compressors with both high compressio
 n ratios and low data distortion can significantly reduce the total data s
 ize while guaranteeing the data valid for post-analysis. In this poster, w
 e propose a novel, efficient compression model for cosmological N-body sim
 ulation framework, by combining the advantages of both space-based compres
 sion and time-based compression. The evaluation with a well-known cosmolog
 ical simulation code shows that our proposed solution can get much higher 
 compression quality than other existing state-of-the-art compressors, with
  comparable compression/decompression rates.
URL:https://sc18.supercomputing.org/presentation/?id=post235&sess=sess324
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