Performance Analysis and Optimization of a Hybrid Seismic Imaging Application

Applications to process seismic data are computationally expensive and, therefore, employ scalable parallel systems to produce timely results. Here we describe our experiences of using performance analysis tools to gain insight into an MPI+OpenMP code developed by Shell that performs Reverse Time Mi...

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Vydáno v:Procedia computer science Ročník 80; s. 8 - 18
Hlavní autoři: Paul, Sri Raj, Araya-Polo, Mauricio, Mellor-Crummey, John, Hohl, Detlef
Médium: Journal Article
Jazyk:angličtina
Vydáno: Elsevier B.V 2016
Témata:
hybrid programming models
MPI+OpenMP
performance analysis
reverse time migration
hybrid programming models
reverse time migration
MPI+OpenMP
performance analysis
ISSN:1877-0509, 1877-0509
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Shrnutí:Applications to process seismic data are computationally expensive and, therefore, employ scalable parallel systems to produce timely results. Here we describe our experiences of using performance analysis tools to gain insight into an MPI+OpenMP code developed by Shell that performs Reverse Time Migration on a cluster to produce models of the subsurface. Tuning MPI+OpenMP programs for modern platforms is difficult, and, therefore, assistance is required from performance analysis tools. These tools provided us with insights into the effectiveness of the domain decomposition strategy, the use of threaded parallelism, and functional unit utilization in individual cores. By applying insights obtained from Rice University's HPCToolkit and hardware performance counters, we were able to improve the performance of Shell's prototype distributed-memory Reverse Time Migration code by roughly 30 percent.
ISSN:1877-0509
1877-0509
DOI:10.1016/j.procs.2016.05.293