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TZID:America/Chicago
X-LIC-LOCATION:America/Chicago
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TZOFFSETFROM:-0600
TZOFFSETTO:-0500
TZNAME:CDT
DTSTART:19700308T020000
RRULE:FREQ=YEARLY;BYMONTH=3;BYDAY=2SU
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DTSTART:19701101T020000
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BEGIN:VEVENT
DTSTAMP:20211207T055347Z
LOCATION:Online
DTSTART;TZID=America/Chicago:20211115T140000
DTEND;TZID=America/Chicago:20211115T143000
UID:submissions.supercomputing.org_SC21_sess501_exses127@linklings.com
SUMMARY:High Performance Computing in the Cloud comparing Azure to AWS and
  an on-premises Supercomputer for NAMD, OpenFLOW CFD, and Cycling Data Ass
 imilation Workflows
DESCRIPTION:Exhibitor Session\n\nHigh Performance Computing in the Cloud c
 omparing Azure to AWS and an on-premises Supercomputer for NAMD, OpenFLOW 
 CFD, and Cycling Data Assimilation Workflows\n\nHasak, Campbell\n\nWe will
  review the advantages of bursting into the cloud for HPC workloads from a
  business, performance, and cost perspective.  We will compare advantages 
 of Azure cloud VMs especially designed for HPC workloads against AWS and s
 upercomputers.\nWe and UIUC benchmarked NAMD simulation on STMV, comparing
  scaling results with results from the Frontera supercomputer, demonstrati
 ng that Azure HPC met and in some cases exceeded the supercomputer capabil
 ities.\nWe will compare benchmarking results from 4 AWS configurations and
  2 Azure configurations with the NOAA Hera supercomputer for cycling data 
 assimilation of ocean and atmosphere observations, giving the rationale an
 d findings of a study performed by NOAA.\nFinally, we will compare benchma
 rking of the classic Motorbike CFD workload, for both Azure and AWS.  We w
 ill analyze and assess scaling efficiency and validate operating performan
 ce.  We will also illustrate cost efficiency and how it changes with scali
 ng for Azure and AWS.\n\nTag: Online Only\n\nRegistration Category: Tech P
 rogram Reg Pass, Workshop Reg Pass, Tutorial Reg Pass, Exhibit Hall Only
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