Performance comparison of Intel Xeon Phi Knights Landing

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dc.contributor.advisorGobbert, Matthias K.
dc.contributor.authorJabbie, Ishmail A.
dc.contributor.authorOwen, George
dc.contributor.authorWhiteley, Benjamin
dc.date.accessioned2018-09-20T18:57:09Z
dc.date.available2018-09-20T18:57:09Z
dc.date.issued2017
dc.description.abstractThe Intel Xeon Phi is a many-core processor with a theoretical peak performance of over 3 TFLOP/s of double precision. We contrast the performance of the second-generation Intel Xeon Phi, code-named Knights Landing (KNL), to the first-generation Intel Xeon Phi, codenamed Knights Corner (KNC), as well as to a node with two multi-core CPUs as baseline reference. The test code solves the classical elliptic test problem of the Poisson equation whose performance 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 or than two CPUs, provided the problem fits into the 16 GB of on-chip MCDRAM memory of the KNL. The studies also confirm the nominal five times faster speed of the new high-performance MCDRAM memory in the KNL compared to the DDR4 memory of the node. We demonstrate the ease of porting code to the KNL by focusing on performance that was achieved by only re-compiling hybrid MPI+OpenMP code with a KNL flag.en_US
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. The authors thank both our team’s graduate assistant Jonathan Graf and faculty mentor Dr. Matthias K. Gobbert for their support throughout the program and beyond. Graduate assistant Jonathan Graf was supported by UMBC. The authors would like to thank the project client and collaborator Samuel Khuvis of ParaTools, Inc. for his support and connection with the Performance Research Laboratory, University of Oregon, that provided 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_US
dc.description.urihttp://www.siam.org/Portals/0/Publications/SIURO/Volume%2010/Performance_comparison_Intel_Xeon_Phi_Knights_Landing.pdf?ver=2018-02-28-145959-113en_US
dc.format.extent14 pagesen_US
dc.genreundergraduate journal articleen_US
dc.identifierdoi:10.13016/M23N20J02
dc.identifier.citationJabbie, I.A., Owen, G., & Whiteley, B. (2017). Performance comparison of Intel Xeon Phi Knights Landing.en_US
dc.identifier.urihttp://hdl.handle.net/11603/11337
dc.language.isoen_USen_US
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.ispartofUMBC Student Collection
dc.relation.ispartofUMBC Faculty Collection
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.subjectIntel Xeon Phien_US
dc.subjectMPIen_US
dc.subjectOpenMPen_US
dc.subjectPoisson equationen_US
dc.subjectConjugate gradient methoden_US
dc.subjectUMBC High Performance Computing Facility (HPCF)en_US
dc.titlePerformance comparison of Intel Xeon Phi Knights Landingen_US
dc.typeTexten_US

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