Performance Comparison of a Two-Dimensional Elliptic Test Problem on Intel Xeon Phis

dc.contributor.authorJabbie, Ishmail A.
dc.contributor.authorOwen, George
dc.contributor.authorWhiteley, Benjamin
dc.contributor.authorGraf, Jonathan S.
dc.contributor.authorGobbert, Matthias K.
dc.contributor.authorKhuvis, Samuel
dc.date.accessioned2018-09-20T18:54:33Z
dc.date.available2018-09-20T18:54:33Z
dc.date.issued2016
dc.description.abstractThe Intel Xeon Phi is a many-core processor with a theoretical peak performance of approximately 1 TFLOP/s in double precision. This project contrasts the performance of the second generation Intel Xeon Phi, code-named Knights Landing (KNL), to the rst-generation Intel Xeon Phi, code-named Knights Corner (KNC), as well as to a node with two CPUs as baseline reference. The benchmark code solves the classical elliptic test problem of the two-dimensional Poisson equation with homogeneous Dirichlet boundary that is prototypical for the computational kernel in many numerical methods for partial differential equations. The results show that the KNL can perform approximately four times faster than the KNC in native mode or two CPUs, provided the problem ts into the 16 GB of on-chip MCDRAM memory of the KNL.en
dc.description.sponsorshipThese results were obtained as part of the REU Site: Interdisciplinary Program in High Performance Computing (hpcreu.umbc.edu) in the Department of Mathematics and Statistics at the University of Maryland, Baltimore County (UMBC) in Summer 2016. This program is funded by the National Science Foundation (NSF), the National Security Agency (NSA), and the Department of Defense (DOD), with additional support from UMBC, the Department of Mathematics and Statistics, the Center for Interdisciplinary Research and Consulting (CIRC), and the UMBC High Performance Computing Facility (HPCF). HPCF is supported by the U.S. National Science Foundation through the MRI program (grant nos. CNS{0821258 and CNS{1228778) and the SCREMS program (grant no. DMS{0821311), with additional substantial support from UMBC. Co-author Ishmail Jabbie was supported, in part, by the UMBC National Security Agency (NSA) Scholars Program through a contract with the NSA. Graduate assistant Jonathan Graf was supported by UMBC. The authors would like to thank the Performance Research Laboratory, University of Oregon for providing access to the KNL Hardware. This work used the Extreme Science and Engineering Discovery Environment (XSEDE), which is supported by National Science Foundation grant number ACI 1053575. We acknowledge the Texas Advanced Computing Center (TACC) at The University of Texas at Austin for providing HPC resources that have contributed to the research results reported within this paper.en
dc.description.urihttps://userpages.umbc.edu/~gobbert/papers/REU2016Team6.pdfen
dc.format.extent16 pagesen
dc.genretechnical reporten
dc.identifierdoi:10.13016/M2C53F49F
dc.identifier.urihttp://hdl.handle.net/11603/11335
dc.language.isoenen
dc.relation.isAvailableAtThe University of Maryland, Baltimore County (UMBC)
dc.relation.ispartofUMBC Mathematics Department Collection
dc.relation.ispartofUMBC Faculty Collection
dc.relation.ispartofUMBC Student Collection
dc.relation.ispartofseriesHPCF Technical Report;HPCF-2016-16
dc.rightsThis item may be protected under Title 17 of the U.S. Copyright Law. It is made available by UMBC for non-commercial research and education. For permission to publish or reproduce, please contact the author.
dc.subjectKnights Corner (KNC)
dc.subjectperformance of many-core processors
dc.subjecttwo-dimensional Poisson equation with homogeneous Dirichlet boundary
dc.subjectKnights Landing (KNL)en
dc.subjectIntel Xeon Phi (KNC)en
dc.subjectUMBC High Performance Computing Facility (HPCF)en
dc.titlePerformance Comparison of a Two-Dimensional Elliptic Test Problem on Intel Xeon Phisen
dc.typeTexten

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