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DTSTAMP:20181221T160903Z
LOCATION:C2/3/4 Ballroom
DTSTART;TZID=America/Chicago:20181115T083000
DTEND;TZID=America/Chicago:20181115T170000
UID:submissions.supercomputing.org_SC18_sess324_post167@linklings.com
SUMMARY:Enabling Data Analytics Workflows Using Node-Local Storage
DESCRIPTION:Poster\nTech Program Reg Pass, Exhibits Reg Pass\n\nEnabling D
 ata Analytics Workflows Using Node-Local Storage\n\nDo, Jiang, Gallagher, 
 Chu, Harrison...\n\nThe convergence of high-performance computing (HPC) an
 d Big Data is a necessity with the push toward extreme-scale computing. As
  HPC simulations become more complex, the analytics need to process larger
  amounts of data, which poses significant challenges for coupling HPC simu
 lations with Big Data analytics. This poster presents a novel node-local a
 pproach that uses a workflow management system (WMS) to enable the couplin
 g between the simulations and the analytics in scientific workflows by lev
 eraging node-local non-volatile random-access memory (NVRAM).
URL:https://sc18.supercomputing.org/presentation/?id=post167&sess=sess324
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