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dc.contributor.authorArora, Kritesh
dc.contributor.authorBarajas, Carlos
dc.contributor.authorGobbert, Matthias K.
dc.date.accessioned2018-10-25T14:10:39Z
dc.date.available2018-10-25T14:10:39Z
dc.date.issued2018
dc.description.abstractWe study the parallel performance of dual-socket compute nodes with Intel Xeon Platinum 8160 Skylake CPUs with 24 cores and 192 GB of memory, connected by a 100 Gbps Intel Omni-Path (OPA) interconnect. The experimenets use the classical test problem of a Poisson equation in two spatial dimensions, discretized by the finite difference method to give a very large and sparse system of linear equations that is solved by the conjugate gradient method. The tests are performanced on the Skylake nodes of Stampede2 in the Texas Advanced Computing Center (TACC) at The University of Texas at Austin. This national supercomputer is funded by National Science Foundation (NSF) and can be accessed through the XSEDE program. We also compare the performance of the test code using different inter-node networks, Omni-Path (OPA), InfiniBand (IB), and Ethernet, on test clusters graciously provided to us by Dell. The results demonstrate excellent scalability when using more nodes due to the low latency of the high-performance interconnect and good speedup when using all cores of the multi-core CPUs. Comparison to past results brings out that core per core performance improvements have stalled, but that node per node performance continues to improve due to the larger number of cores available on a node.en_US
dc.description.sponsorshipThis work used the Extreme Science and Engineering Discovery Environment (XSEDE), which is supported by National Science Foundation grant number ACI{1053575 [11]. We acknowledge the Texas Advanced Computing Center (TACC) at The University of Texas at Austin for providing the HPC resources Stampede2. The hardware in the UMBC High Performance Computing Facility (HPCF) is supported by the U.S. National Science Foundation through the MRI program (grant nos. CNS{0821258, NS-1228778, and OAC-1726023) and the SCREMS program (grant no. DMS-0821311), with additional substantial support from the University of Maryland, Baltimore County (UMBC). See hpcf.umbc.edu for more information on HPCF and the projects using its resources. The rst author was supported by UMBC as HPCF RA.en_US
dc.description.urihttps://userpages.umbc.edu/~gobbert/papers/Poisson_Stampede2_201810.pdfen_US
dc.format.extent16 pagesen_US
dc.genretechnical reporten_US
dc.identifierdoi:10.13016/M2RR1PR12
dc.identifier.urihttp://hdl.handle.net/11603/11684
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 Information Systems Department
dc.relation.ispartofseriesHPCF Technical Report;HPCF-2018-10
dc.rightsThis item is likely protected under Title 17 of the U.S. Copyright Law. Unless on a Creative Commons license, for uses protected by Copyright Law, contact the copyright holder or the author.
dc.subjectParallel Performanceen_US
dc.subjectElliptic Test Problemen_US
dc.subjectStampede2 Clusteren_US
dc.subjectComparison of Networksen_US
dc.subjectHigh Performance Computing Facility (HPCF)en_US
dc.subjectInfiniBand (IB)en_US
dc.titleParallel Performance Studies for an Elliptic Test Problem on the Stampede2 Cluster and Comparison of Networksen_US
dc.typeTexten_US


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