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DTSTART;TZID=America/Denver:20191118T164500
DTEND;TZID=America/Denver:20191118T171000
UID:submissions.supercomputing.org_SC19_sess137_ws_xloop108@linklings.com
SUMMARY:Balsam: Near Real-Time Experimental Data Analysis on Supercomputer
 s
DESCRIPTION:Workshop\n\nBalsam: Near Real-Time Experimental Data Analysis 
 on Supercomputers\n\nSalim, Uram, Childers, Vishwanath, Papka\n\nThe growi
 ng sophistication of experimental data analysis at DOE scientific user fac
 ilities is poised to outstrip local resources for storage and computing.  
 At the same time, experimental facilities generally underuse DOE supercomp
 uters  for analysis because 1) logging into a supercomputer to schedule co
 mputations complicates the experimental workflow, and 2) scientists must o
 ften interpret data on-the-fly and cannot abide by batch queueing policies
 .  In this work, we describe how the Balsam edge service has enabled near-
 real-time analysis of data collected at the Advanced Photon Source (APS) w
 ith an X-ray Photon Correlation Spectroscopy (XPCS) application running on
  Argonne Leadership Computing Facility (ALCF) resources. Balsam provides a
  uniform API for remote job submission and can leverage transfer protocols
  like Globus to orchestrate data movement.  The Balsam service then interf
 aces with the system scheduler to perform automated job submission and pro
 cess tasks in a high-throughput, fault-tolerant fashion. We highlight the 
 effectiveness of backfill queues when used with Balsam to process XPCS dat
 a on idle nodes with relatively low latency.\n\nTag: Workshop Reg Pass, Ex
 perimental Datasets, High-fidelity Simulations, Scalable Computing\n\nRegi
 stration Category: Workshop Reg Pass, Experimental Datasets, High-fidelity
  Simulations, Scalable Computing
URL:https://sc19.supercomputing.org/presentation/?id=ws_xloop108&sess=sess
 137
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