SC13 Home > SC13 Schedule > SC13 Presentation - There Goes the Neighborhood: Performance Degradation due to Nearby Jobs

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

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

Add to iCal  Click here to download .ics calendar file

Add to Outlook  Click here to download .vcs calendar file

Add to Google Calendarss  Click here to add event to your Google Calendar

The full paper can be found in the ACM Digital Library