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dc.contributor.authorAbdelkhalak, Rached
dc.contributor.authorLtaief, Hatem
dc.contributor.authorEtienne, V.
dc.contributor.authorAkbudak, Kadir
dc.contributor.authorTonellot, T.
dc.contributor.authorKeyes, David E.
dc.date.accessioned2020-10-01T13:22:26Z
dc.date.available2020-10-01T13:22:26Z
dc.date.issued2020-06-14
dc.identifier.citationAbdelkhalak, R., Ltaief, H., Etienne, V., Akbudak, K., Tonellot, T., & Keyes, D. (2019). Alleviating the pressure on memory for seismic modeling. Fourth EAGE Workshop on High Performance Computing for Upstream 2019. doi:10.3997/2214-4609.201903281
dc.identifier.doi10.3997/2214-4609.201903281
dc.identifier.urihttp://hdl.handle.net/10754/665407
dc.description.abstractThis paper describes two methods to improve the performance of a FDTD solver for the first order formulation of the 3D acoustic wave equation. Based on spatial and temporal cache blocking techniques, these methods enable to maximize bandwidth of the memory subsystem, while reducing data traffic in-between the memory hierarchy. On the one hand, the spatial blocking (SB) approach increases data reuse among cores within each iteration of the time integration. On the other hand, the multicore wavefront diamond temporal blocking (MWD-TB) technique further leverages the SB performance by intrinsically reusing freshly cached data solutions across iterations of the time integration. While SB achieves sixfold performance speedup against the naive implementation (without cache blocking), MWD-TB outperforms SB by up to 50\% on a two-socket 16-core Intel Haswell system.
dc.publisherEAGE Publications
dc.relation.urlhttps://www.earthdoc.org/content/papers/10.3997/2214-4609.201903281
dc.rightsArchived with thanks to European Association of Geoscientists & Engineers
dc.titleAlleviating the pressure on memory for seismic modeling
dc.typeConference Paper
dc.contributor.departmentExtreme Computing Research Center
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
dc.contributor.departmentApplied Mathematics and Computational Science Program
dc.contributor.departmentOffice of the President
dc.conference.date2019-10-07 to 2019-10-09
dc.conference.name4th EAGE Workshop on High Performance Computing for Upstream in the Middle East: HPC Through the 4th Industrial Revolution
dc.conference.locationDubai, ARE
dc.eprint.versionPost-print
dc.contributor.institutionEXPEC Advanced Research Center, Saudi Aramco
kaust.personAbdelkhalak, Rached
kaust.personLtaief, Hatem
kaust.personAkbudak, Kadir
kaust.personKeyes, David E.
dc.identifier.eid2-s2.0-85091460454
refterms.dateFOA2020-10-04T05:43:30Z


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