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DTSTAMP:20181221T160725Z
LOCATION:D173
DTSTART;TZID=America/Chicago:20181111T105500
DTEND;TZID=America/Chicago:20181111T112000
UID:submissions.supercomputing.org_SC18_sess163_ws_works115@linklings.com
SUMMARY:Flux: Overcoming Scheduling Challenges for Exascale Workflows
DESCRIPTION:Workshop\nReproducibility, Scientific Computing, Scientific Wo
 rkflows, Workflows, Workshop Reg Pass, HPC, Data Intensive\n\nFlux: Overco
 ming Scheduling Challenges for Exascale Workflows\n\nAhn, Bass, Chu, Garli
 ck, Grondona...\n\nMany emerging scientific workflows that target high-end
  HPC systems require complex interplay with the resource and job managemen
 t software~(RJMS).  However, portable, efficient and easy-to-use schedulin
 g and execution of these workflows is still an unsolved problem.  We prese
 nt Flux, a novel, hierarchical RJMS infrastructure that addresses the key 
 scheduling challenges of modern workflows in a scalable, easy-to-use, and 
 portable manner.  At the heart of Flux lies its ability to be nested seaml
 essly within batch allocations created by other schedulers as well as itse
 lf.  Once a hierarchy of Flux instance is created within each allocation, 
 its consistent and rich set of well-defined APIs portably and efficiently 
 support those workflows that can often feature non-traditional execution p
 atterns such as requirements for complex co-scheduling, massive ensembles 
 of small jobs and coordination among jobs in an ensemble.
URL:https://sc18.supercomputing.org/presentation/?id=ws_works115&sess=sess
 163
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