SCHEDULE: NOV 16-22, 2013
When viewing the Technical Program schedule, on the far righthand side is a column labeled "PLANNER." Use this planner to build your own schedule. Once you select an event and want to add it to your personal schedule, just click on the calendar icon of your choice (outlook calendar, ical calendar or google calendar) and that event will be stored there. As you select events in this manner, you will have your own schedule to guide you through the week.
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
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.
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
The full paper can be found in the ACM Digital Library