SCHEDULE: NOV 16-22, 2013
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Mitigating System Noise With Simultaneous Multi-Threading
SESSION: Research Poster Reception
EVENT TYPE: Posters, Electronic Posters, and Education Posters
TIME: 5:15PM - 7:00PM
AUTHOR(S):Eli Rosenthal, Edgar A. Leon, Adam T. Moody
ROOM:Mile High Pre-Function
ABSTRACT:
System noise on commodity clusters significantly impacts
the scalability of scientific applications. As the number of nodes in
a cluster grows, this impact outweighs the benefits of the increased
system capability. In this work, we propose using Simultaneous
Multi-Threading (SMT) to mitigate system noise, and we
demonstrate its effectiveness using Fixed Work Quantum (FWQ)
micro-benchmarks. This technique relies on using the floating-point and
integer units of a core (shared SMT resources) for system processing
when an application is stalled waiting for an out-of-core operation. Unlike
core-specialization, which dedicates a core for system processing, our
approach allows an application to use all cores of a node and
proves significantly more effective in reducing system noise.
Chair/Author Details:
Eli Rosenthal - Brown University
Edgar A. Leon - Lawrence Livermore National Laboratory
Adam T. Moody - Lawrence Livermore National Laboratory
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