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BEGIN:VEVENT
DTSTAMP:20210916T132450Z
LOCATION:Jean-Jacques Rousseau
DTSTART;TZID=Europe/Stockholm:20210706T150000
DTEND;TZID=Europe/Stockholm:20210706T153000
UID:submissions.pasc-conference.org_PASC21_sess139_msa363@linklings.com
SUMMARY:Generating Large Networks with the CoMet Combinatorial Metrics App
 lication
DESCRIPTION:Minisymposium\n\nGenerating Large Networks with the CoMet Comb
 inatorial Metrics Application\n\nJoubert\n\nIn this talk we describe CoMet
 , an application used to identify networks of similarity relationships bet
 ween elements in large quantities of data. It is applicable to problems in
  many science domains and can be used for problems representable in terms 
 of vector similarity measures. CoMet has been run on some of the fastest c
 omputer systems in the world and has achieved orders of magnitude performa
 nce gain for some of its targeted problems. In this talk we discuss the co
 mputational aspects of CoMet and present results from its use in areas suc
 h as genomics and climate data analysis.\n\nDomain: CS and Math, Emerging 
 Applications, Chemistry and Materials, Climate and Weather, Life Sciences
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