BEGIN:VCALENDAR
VERSION:2.0
PRODID:Linklings LLC
BEGIN:VTIMEZONE
TZID:America/New_York
X-LIC-LOCATION:America/New_York
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:19700308T020000
RRULE:FREQ=YEARLY;BYMONTH=3;BYDAY=2SU
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:19701101T020000
RRULE:FREQ=YEARLY;BYMONTH=11;BYDAY=1SU
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTAMP:20210402T160556Z
LOCATION:Track 5
DTSTART;TZID=America/New_York:20201112T143000
DTEND;TZID=America/New_York:20201112T145700
UID:submissions.supercomputing.org_SC20_sess211_ws_pdsw112@linklings.com
SUMMARY:Emulating I/O Behavior in Scientific Workflows on High Performance
  Computing Systems
DESCRIPTION:Workshop\n\nEmulating I/O Behavior in Scientific Workflows on 
 High Performance Computing Systems\n\nChowdhury, Zhu, Di Natale, Moody, Go
 nsiorowski...\n\nScientific application workflows leverage the capabilitie
 s of cutting-edge high-performance computing (HPC) facilities to enable co
 mplex applications for academia, research, and industry communities. Data 
 transfer and I/O dependency among different modules of modern HPC workflow
 s can increase the complexity and hamper the overall performance of workfl
 ows.  Understanding this complexity due to data-dependency and dataflow is
  an essential prerequisite for developing optimization strategies to impro
 ve I/O performance and, eventually, the entire workflow.  \n\nIn this pape
 r, we discuss dataflow patterns for workflow applications on HPC systems. 
  As existing I/O benchmarking tools lack in identifying and representing t
 he dataflow in modern HPC workflows, we have implemented Wemul, an open-so
 urce workflow I/O emulation framework, to mimic different types of I/O beh
 avior demonstrated by common and complex HPC application workflows for dee
 per analysis. We elaborate on the features and usage of Wemul, demonstrate
  its application to HPC workflows, and discuss the insights from the perfo
 rmance analysis results on Lassen supercomputing cluster at Lawrence Liver
 more National Laboratory (LLNL).\n\nTag: Big Data, Data Analytics, Compres
 sion, and Management, Data Movement, File Systems and I/O, Storage\n\nRegi
 stration Category: Workshop Reg Pass
END:VEVENT
END:VCALENDAR