TY - GEN
T1 - Performance enhancement of the full wave
AU - Cohen, E.
AU - Kosloff, D.
AU - Reshef, M.
PY - 2014
Y1 - 2014
N2 - We present two approaches for performance enhancement of a numerical wave propagation simulation based on spectral element method (SEM). First is a prior-to-run estimation of model parameters. By selecting the right parameters, one can reduce the total number of elements and use the minimal quadrature order while maintaining accurate simulation. Second is the parallel implementation of the numerical scheme. The algorithm presented is a hybrid approach of shared (openMP) and distributed (MPI) memory levels of parallelization. We are able to overlap the computational effort with the data communications, which in interesting cases, allows a close-to-linear speedup of the simulation.
AB - We present two approaches for performance enhancement of a numerical wave propagation simulation based on spectral element method (SEM). First is a prior-to-run estimation of model parameters. By selecting the right parameters, one can reduce the total number of elements and use the minimal quadrature order while maintaining accurate simulation. Second is the parallel implementation of the numerical scheme. The algorithm presented is a hybrid approach of shared (openMP) and distributed (MPI) memory levels of parallelization. We are able to overlap the computational effort with the data communications, which in interesting cases, allows a close-to-linear speedup of the simulation.
UR - http://www.scopus.com/inward/record.url?scp=85085850010&partnerID=8YFLogxK
U2 - 10.3997/2214-4609.20141936
DO - 10.3997/2214-4609.20141936
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AN - SCOPUS:85085850010
T3 - EAGE Workshop on High Performance Computing for Upstream 2014
BT - EAGE Workshop on High Performance Computing for Upstream 2014
PB - European Association of Geoscientists and Engineers, EAGE
T2 - EAGE Workshop on High Performance Computing for Upstream 2014
Y2 - 7 September 2014 through 10 September 2014
ER -