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DTSTAMP:20211207T055347Z
LOCATION:Online
DTSTART;TZID=America/Chicago:20211119T091500
DTEND;TZID=America/Chicago:20211119T094500
UID:submissions.supercomputing.org_SC21_sess511_ws_hust105@linklings.com
SUMMARY:Efficient Software for Archiving and Retrieving Results of Massive
  Bioinformatics Analyses in High-Performance Computing Environments
DESCRIPTION:Workshop\n\nEfficient Software for Archiving and Retrieving Re
 sults of Massive Bioinformatics Analyses in High-Performance Computing Env
 ironments\n\nSteffen\n\nModern sequencing and computers in biomedical and 
 agricultural areas generate thousands of samples every day. Bioinformatics
  workflows produce vast amounts of data, which need to be managed:.  This 
 creates bottlenecks when multiple workflows are running simultaneously and
  accessing the file system. The difficulty stems chiefly from the frequent
 ly very large number of files, with a highly nested directory structure, a
 nd a heterogeneous distribution of file sizes, with emphasis on large numb
 ers of very small files. Parallel file systems, such as Lustre, GPFS, and 
 tape archives, can perform poorly under these circumstances due to overabu
 ndance of metadata. Packaging files into archives ease the I/O burden when
  the collection is moved or archived. Standard packaging utilities, such a
 s tar and zip, do not scale well with the size of the data for this partic
 ular use case. This manuscript reviews three  parallel alternatives, showi
 ng their performance on high performance computing systems.\n\nTag: Online
  Only, Productivity Tools, State of the Practice\n\nRegistration Category:
  Workshop Reg Pass
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