SCHEDULE: NOV 10-16, 2012
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Optimizing pF3D using Model-Based, Dynamic Parallelism
SESSION: ACM Student Research Competition Poster Session
EVENT TYPE: ACM Student Research Competition
TIME: 5:15PM - 7:00PM
SESSION CHAIR: Torsten Hoefler
AUTHOR(S):ChunYi Su
ROOM:East Entrance
ABSTRACT:
Optimizing parallel applications for performance and power in
current and future systems poses significant challenges. A single
node today present multiple levels of parallelism
including multiple SMT-threads, cores, sockets, and memory
domains. Determining the optimal concurrency and mapping of an
application to the underlying processing units may be intractable for
online optimization and challenging for efficient offline search. In
this work, we present a framework to dynamically optimize the
performance of parallel programs based on model predictions of the
optimal configuration. We optimize the performance of kernels from
pF3D, a real-world multi-physics code used to simulate the
interaction between a high-intensity laser and a plasma. Our results
show that our approach predicts performance within 6% of the
optimal in average and achieve performance improvements from 1.03x
to 5.95x compared to the Linux default setting.
Chair/Author Details:
Torsten Hoefler (Chair) - ETH Zurich
ChunYi Su - Virginia Tech
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