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DTSTART:19700308T020000
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DTSTAMP:20190719T085744Z
LOCATION:HG D 3.2
DTSTART;TZID=Europe/Stockholm:20190612T170000
DTEND;TZID=Europe/Stockholm:20190612T173000
UID:submissions.pasc-conference.org_PASC19_sess169_msa138@linklings.com
SUMMARY:Insights on Parallel Computing and its Challenges in Macroeconomic
 s
DESCRIPTION:Minisymposium\nEmerging Application Domains\n\nInsights on Par
 allel Computing and its Challenges in Macroeconomics\n\nZarruk\n\nParallel
  computing opens the door to solving and estimating richer models in econo
 mics. From dynamic optimization problems with high dimensionality to struc
 tural estimation with complex data, readily-available and economical paral
 lel computing allows researchers to tackle problems in economics that were
  beyond the realm of possibility just a decade ago. This talk describes th
 e basics of parallel computing, its main implementation challenges, and pr
 ovides useful guidance to improve performance at a low cost, through tools
  such as OpenMP and OpenACC. Performance gains of different parallelizatio
 n routines are compared using as a test bed a standard life-cycle model su
 ch as those used in macro and labor.
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