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SCHEDULE: NOV 16-21, 2014
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.
Lightweight Scheduling for Improving Load Balance Without Losing Locality
SESSION: Poster Reception
EVENT TYPE: Posters
TIME: 5:15PM - 7:00PM
AUTHOR(S):Vivek Kale, William Gropp, Laura Grigori, Simplice Donfack
ROOM:New Orleans Theater Lobby
ABSTRACT:
Performance irregularities on massively parallel processors lead to load imbalances and a significant loss of performance. Multi-core nodes suggest a promising way to re-distribute work within a node, thus mitigating performance irregularities. However, there exists a non-trivial cost to redistributing work, and associated data, across cores. We investigate how work can be equitably distributed across cores without significantly disturbing data locality, and without incurring significant scheduling overhead. Towards this end, we design a series of scheduling strategies and tuning mechanisms; our foundational technique is intelligent blending of static and dynamic scheduling. We also implement a basic runtime system and library to minimize programmer effort in applying these strategies. Our techniques provide 28.16% performance gains over static scheduling and 17.13% gains over guided scheduling for a widely used regular mesh benchmark, and 44.45% gains over static scheduling and 13.06% gains over guided scheduling for an n-body simulation, both on 1024 nodes.
Chair/Author Details:
Vivek Kale - University of Illinois
William Gropp - University of Illinois at Urbana-Champaign
Laura Grigori - French Institute for Research in Computer Science and Automation
Simplice Donfack - French Institute for Research in Computer Science and Automation
Click here to download .ics calendar file
