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dc.contributor.authorCardamone, Salvatore
dc.contributor.authorKimmitt, Jonathan
dc.contributor.authorBurton, Hugh
dc.contributor.authorTodman, TJ
dc.contributor.authorLi, S
dc.contributor.authorLuk, W
dc.contributor.authorThom, Alexander
dc.date.accessioned2019-01-18T00:32:04Z
dc.date.available2019-01-18T00:32:04Z
dc.date.issued2019-06-15
dc.identifier.issn0020-7608
dc.identifier.urihttps://www.repository.cam.ac.uk/handle/1810/288200
dc.description.abstractMassively parallel architectures offer the potential to significantly accelerate an application relative to their serial counterparts. However, not all applications exhibit an adequate level of data and/or task parallelism to exploit such platforms. Furthermore, the power consumption associated with these forms of computation renders "scaling out" for exascale levels of performance incompatible with modern sustainable energy policies. In this work, we investigate the potential for field-programmable gate arrays (FPGAs) to feature in future exascale platforms, and their capacity to improve performance per unit power measurements for the purposes of scientific computing. We have focussed our efforts on Variational Monte Carlo, and report on the benefits of co-processing with an FPGA relative to a purely multicore system.
dc.description.sponsorshipRoyal Society Horizon 2020 Hartree Centre
dc.publisherWiley
dc.titleField-programmable gate arrays and quantum Monte Carlo: Power efficient coprocessing for scalable high-performance computing
dc.typeArticle
prism.issueIdentifier12
prism.publicationDate2019
prism.publicationNameInternational Journal of Quantum Chemistry
prism.volume119
dc.identifier.doi10.17863/CAM.35516
dcterms.dateAccepted2018-10-31
rioxxterms.versionofrecord10.1002/qua.25853
rioxxterms.versionAM
rioxxterms.licenseref.urihttp://www.rioxx.net/licenses/all-rights-reserved
rioxxterms.licenseref.startdate2019-06-15
dc.contributor.orcidKimmitt, Jonathan [0000-0001-5232-6158]
dc.contributor.orcidBurton, Hugh [0000-0002-1342-2056]
dc.contributor.orcidThom, Alexander [0000-0002-2417-7869]
dc.identifier.eissn1097-461X
rioxxterms.typeJournal Article/Review
pubs.funder-project-idRoyal Society (uf110161)
pubs.funder-project-idEuropean Commission Horizon 2020 (H2020) Future and Emerging Technologies (FET) (671653)
pubs.funder-project-idRoyal Society (UF160398)
cam.issuedOnline2019-02-21
cam.orpheus.successThu Jan 30 10:53:31 GMT 2020 - Embargo updated
rioxxterms.freetoread.startdate2020-06-15


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