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DTSTART;TZID=America/Chicago:20181112T155500
DTEND;TZID=America/Chicago:20181112T162000
UID:submissions.supercomputing.org_SC18_sess142_ws_pdsw109@linklings.com
SUMMARY:Toward Understanding I/O Behavior in HPC Workflows
DESCRIPTION:Jakob Luettgau (German Climate Computing Center, Argonne Natio
 nal Laboratory); Shane Snyder, Philip Carns, and Justin M. Wozniak (Argonn
 e National Laboratory); Julian Kunkel (University of Reading); and Thomas 
 Ludwig (German Climate Computing Center)\n\nScientific discovery increasin
 gly depends on complex workflows consisting of multiple phases and sometim
 es millions of parallelizable tasks or pipelines. These workflows access s
 torage resources for a variety of purposes, including preprocessing, simul
 ation output, and postprocessing steps. Unfortunately, most workflow model
 s focus on the scheduling and allocation of computational resources for ta
 sks while the impact on storage systems remains a secondary objective and 
 an open research question. I/O performance is not usually accounted for in
  workflow telemetry reported to users.\n\nIn this paper, we present an app
 roach to augment the I/O efficiency of the individual tasks of workflows b
 y combining workflow description frameworks with system I/O telemetry data
 . A conceptual architecture and a prototype implementation for HPC data ce
 nter deployments are introduced. We also identify and discuss challenges t
 hat will need to be addressed by workflow management and monitoring system
 s for HPC in the future. We demonstrate how real-world applications and wo
 rkflows could benefit from the approach, and we show how the approach help
 s communicate  performance-tuning guidance to users.\n\nTag: I/O, Storage\
 n\nRegistration Category: Workshop Reg Pass\n\n
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