Результаты исследований: Публикации в книгах, отчётах, сборниках, трудах конференций › статья в сборнике материалов конференции › научная › Рецензирование
Parallel algorithm for one-way wave equation based migration for seismic imaging. / Pleshkevich, Alexander; Vishnevsky, Dmitry; Lisitsa, Vadim и др.
Supercomputing - 4th Russian Supercomputing Days, RuSCDays 2018, Revised Selected Papers. Springer-Verlag GmbH and Co. KG, 2019. стр. 125-135 (Communications in Computer and Information Science; Том 965).Результаты исследований: Публикации в книгах, отчётах, сборниках, трудах конференций › статья в сборнике материалов конференции › научная › Рецензирование
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TY - GEN
T1 - Parallel algorithm for one-way wave equation based migration for seismic imaging
AU - Pleshkevich, Alexander
AU - Vishnevsky, Dmitry
AU - Lisitsa, Vadim
AU - Levchenko, Vadim
N1 - Publisher Copyright: © 2019, Springer Nature Switzerland AG.
PY - 2019/1/1
Y1 - 2019/1/1
N2 - Seismic imaging is the final stage of the seismic processing allowing to reconstruct the internal subsurface structure. This procedure is one of the most time consuming and it requires huge computational resources to get high-quality amplitude-preserving images. In this paper, we present a parallel algorithm of seismic imaging, based on the solution of the one-way wave equation. The algorithm includes parallelization of the data flow, due to the multiple sources/receivers pairs processing. Wavefield extrapolation is performed by pseudo-spectral methods and applied by qFFT - each dataset is processed by a single MPI process. Common-offset vector images are constructed using all the solutions from all datasets thus by all-to-all MPI communications.
AB - Seismic imaging is the final stage of the seismic processing allowing to reconstruct the internal subsurface structure. This procedure is one of the most time consuming and it requires huge computational resources to get high-quality amplitude-preserving images. In this paper, we present a parallel algorithm of seismic imaging, based on the solution of the one-way wave equation. The algorithm includes parallelization of the data flow, due to the multiple sources/receivers pairs processing. Wavefield extrapolation is performed by pseudo-spectral methods and applied by qFFT - each dataset is processed by a single MPI process. Common-offset vector images are constructed using all the solutions from all datasets thus by all-to-all MPI communications.
KW - CUDA
KW - MPI
KW - Nested OMP
KW - One-way wave equation
KW - Pseudo-spectral methods
KW - qFFT
UR - http://www.scopus.com/inward/record.url?scp=85059886979&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-05807-4_11
DO - 10.1007/978-3-030-05807-4_11
M3 - Conference contribution
AN - SCOPUS:85059886979
SN - 9783030058067
T3 - Communications in Computer and Information Science
SP - 125
EP - 135
BT - Supercomputing - 4th Russian Supercomputing Days, RuSCDays 2018, Revised Selected Papers
PB - Springer-Verlag GmbH and Co. KG
T2 - 4th Russian Supercomputing Days Conference, RuSCDays 2018
Y2 - 24 September 2018 through 25 September 2018
ER -
ID: 18143166