SCHEDULE: NOV 16-22, 2013
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There Goes the Neighborhood: Performance Degradation due to Nearby Jobs
SESSION: System-wide Application Performance Assessments
EVENT TYPE: Papers
TIME: 4:00PM - 4:30PM
SESSION CHAIR: Dominik Ulmer
AUTHOR(S):Abhinav Bhatele, Kathryn Mohror, Steven H. Langer, Katherine E. Isaacs
ROOM:401/402/403
ABSTRACT:
Predictable performance is important for understanding and alleviating
application performance issues; quantifying the effects of source code,
compiler, or system software changes; estimating the time required for batch
jobs; and determining the allocation requests for proposals. Our experiments
show that on a Cray XE system, the execution time of a communication-heavy
parallel application ranges from 28% faster to 41% slower than the average
observed performance. Blue Gene systems, on the other hand, demonstrate no
noticeable run-to-run variability. In this paper, we focus on Cray machines and investigate potential causes for performance variability such as OS jitter, shape of the allocated partition, and interference from other jobs sharing the same network links. Reducing such variability could improve overall throughput at a computer center and save energy costs.
Chair/Author Details:
Dominik Ulmer (Chair) - Cray Switzerland
Abhinav Bhatele - Lawrence Livermore National Laboratory
Kathryn Mohror - Lawrence Livermore National Laboratory
Steven H. Langer - Lawrence Livermore National Laboratory
Katherine E. Isaacs - University of California Davis
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The full paper can be found in the ACM Digital Library