Spectral method and its high performance implementation

Handle URI:
http://hdl.handle.net/10754/564853
Title:
Spectral method and its high performance implementation
Authors:
Wu, Zedong; Alkhalifah, Tariq Ali ( 0000-0002-9363-9799 )
Abstract:
We have presented a new method that can be dispersion free and unconditionally stable. Thus the computational cost and memory requirement will be reduced a lot. Based on this feature, we have implemented this algorithm on GPU based CUDA for the anisotropic Reverse time migration. There is almost no communication between CPU and GPU. For the prestack wavefield extrapolation, it can combine all the shots together to migration. However, it requires to solve a bigger dimensional problem and more meory which can't fit into one GPU cards. In this situation, we implement it based on domain decomposition method and MPI for distributed memory system.
KAUST Department:
Earth Science and Engineering Program; Physical Sciences and Engineering (PSE) Division; Environmental Science and Engineering Program
Publisher:
EAGE Publications
Journal:
EAGE Workshop on High Performance Computing for Upstream
Conference/Event name:
EAGE Workshop on High Performance Computing for Upstream 2014
Issue Date:
2014
DOI:
10.3997/2214-4609.20141935
Type:
Conference Paper
ISBN:
9781634391672
Appears in Collections:
Conference Papers; Environmental Science and Engineering Program; Physical Sciences and Engineering (PSE) Division; Earth Science and Engineering Program

Full metadata record

DC FieldValue Language
dc.contributor.authorWu, Zedongen
dc.contributor.authorAlkhalifah, Tariq Alien
dc.date.accessioned2015-08-04T07:23:08Zen
dc.date.available2015-08-04T07:23:08Zen
dc.date.issued2014en
dc.identifier.isbn9781634391672en
dc.identifier.doi10.3997/2214-4609.20141935en
dc.identifier.urihttp://hdl.handle.net/10754/564853en
dc.description.abstractWe have presented a new method that can be dispersion free and unconditionally stable. Thus the computational cost and memory requirement will be reduced a lot. Based on this feature, we have implemented this algorithm on GPU based CUDA for the anisotropic Reverse time migration. There is almost no communication between CPU and GPU. For the prestack wavefield extrapolation, it can combine all the shots together to migration. However, it requires to solve a bigger dimensional problem and more meory which can't fit into one GPU cards. In this situation, we implement it based on domain decomposition method and MPI for distributed memory system.en
dc.publisherEAGE Publicationsen
dc.titleSpectral method and its high performance implementationen
dc.typeConference Paperen
dc.contributor.departmentEarth Science and Engineering Programen
dc.contributor.departmentPhysical Sciences and Engineering (PSE) Divisionen
dc.contributor.departmentEnvironmental Science and Engineering Programen
dc.identifier.journalEAGE Workshop on High Performance Computing for Upstreamen
dc.conference.date7 September 2014 through 10 September 2014en
dc.conference.nameEAGE Workshop on High Performance Computing for Upstream 2014en
kaust.authorAlkhalifah, Tariq Alien
kaust.authorWu, Zedongen
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