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BEGIN:VEVENT
DTSTAMP:20211207T055402Z
LOCATION:Online
DTSTART;TZID=America/Chicago:20211115T105500
DTEND;TZID=America/Chicago:20211115T112000
UID:submissions.supercomputing.org_SC21_sess342_ws_worksp106@linklings.com
SUMMARY:Intelligent Resource Provisioning for Scientific Workflows and HPC
DESCRIPTION:Workshop\n\nIntelligent Resource Provisioning for Scientific W
 orkflows and HPC\n\nShealy, Feltus, Smith\n\nScientific workflows and high
 -performance computing (HPC) systems are critically important to modern sc
 ientific research. In order to perform scientific experiments at scale, do
 main scientists must have knowledge and expertise in software and hardware
  systems that are highly complex and rapidly evolving. While computational
  expertise will be essential for domain scientists going forward, any tool
 s or practices that reduce this burden for domain scientists will greatly 
 increase the rate of scientific discoveries. One such example is knowing a
 head of time the resource usage patterns of an application for the purpose
  of resource provisioning. A tool that accurately estimates these resource
  requirements would benefit HPC users in many ways, by reducing job failur
 es and queue times on traditional HPC systems and reducing costs on cloud 
 computing systems. In this work we present Tesseract, a semi-automated too
 l that predicts resource usage for any application on any computing platfo
 rm, from historical data, with minimal input from the user. We employ Tess
 eract to predict runtime, memory usage, and disk usage for a diverse set o
 f scientific workflows, and in particular we show how these resource estim
 ates can prevent under-provisioning.\n\nTag: Online Only, Cloud and Distri
 buted Computing, Scientific Computing, Workflows\n\nRegistration Category:
  Workshop Reg Pass
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