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DTSTART;TZID=America/New_York:20201119T143000
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UID:submissions.supercomputing.org_SC20_sess293_drs101@linklings.com
SUMMARY:Approachable Error Bounded Lossy Compression
DESCRIPTION:Doctoral Showcase\n\nApproachable Error Bounded Lossy Compress
 ion\n\nUnderwood, Apon, Calhoun\n\nCompression is commonly used in HPC app
 lications to move and store data. Traditional lossless compression, howeve
 r, does not provide adequate compression of floating point data often foun
 d in scientific codes. Recently, researchers and scientists have turned to
  lossy compression techniques that approximate the original data rather th
 an reproduce it in order to achieve desired levels of compression. Typical
  lossy compressors do not bound the errors introduced into the data, leadi
 ng to the development of error bounded lossy compressors (EBLC). These too
 ls provide the desired levels of compression as mathematical guarantees on
  the errors introduced. The current state of EBLC leaves much to be desire
 d. The existing EBLC all have different interfaces requiring codes to be c
 hanged to adopt new techniques; EBLC have many more configuration options 
 than their predecessors, making them more difficult to use; and EBLC typic
 ally bound quantities like point wise errors rather than higher level metr
 ics such as spectra, p-values, or test statistics that scientists typicall
 y use. My dissertation aims to provide a uniform interface to compression 
 and to develop tools to allow application scientists to understand and app
 ly EBLC. This canvas presents three groups of work: LibPressio, a standard
  interface for compression and analysis; FRaZ/LibPressio-Opt frameworks fo
 r the automated configuration of compressors using LibPressio; and work on
  tools for analyzing errors in particular domains.\n\nRegistration Categor
 y: Tech Program Reg Pass
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