Accelerating the GMRES solver with block ILU(k) preconditioner on GPUs in reservoir simulation

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dc.contributor.authorChen, Zhangxing (John)
dc.contributor.authorLiu, H.
dc.contributor.authorYang, B.
dc.date.accessioned2017-03-16T22:52:07Z
dc.date.available2017-03-16T22:52:07Z
dc.date.issued2015
dc.description.abstractThis paper studies the parallelization of the restarted GMRES solver, GMRES (m), and the block ILU (k) preconditioner on GPUs used in petroleum reservoir simulations. The difficulty is how to accelerate this preconditioner with a variable block size. In this paper, parallel solution techniques for block triangular systems are proposed, which work for matrices with an arbitrary block size. These techniques also work with an arbitrary level k for the block ILU (k) preconditioner. Numerical experiments show that the GPU-based linear solver GMRES (m) is much faster than its CPU version.en_US
dc.description.grantingagencyNSERCen_US
dc.description.refereedYesen_US
dc.description.sponsorshipIndustrial consortium in Reservoir Simulation and Modelling; Foundation CMG; Alberta Innovates.en_US
dc.identifier.doihttp://dx.doi.org/10.11575/PRISM/30179
dc.identifier.grantnumberNSERC: IRCPJ365863-12; AITF: G203000197; AIEES: 3130.en_US
dc.identifier.urihttp://hdl.handle.net/1880/51869
dc.language.isoenen_US
dc.publisherJournal of Geology & Geosciencesen_US
dc.publisher.departmentChemical & Petroleum Engineeringen_US
dc.publisher.facultySchulich School of Engineeringen_US
dc.publisher.institutionUniversity of Calgaryen_US
dc.relation.ispartofseries4(2);1-7
dc.titleAccelerating the GMRES solver with block ILU(k) preconditioner on GPUs in reservoir simulationen_US
dc.typejournal article
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