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NekBone with Optimizaed OpenACC directives
KTH, Centres, SeRC - Swedish e-Science Research Centre. KTH, School of Computer Science and Communication (CSC), Centres, Centre for High Performance Computing, PDC.ORCID iD: 0000-0002-3859-9480
KTH, School of Computer Science and Communication (CSC), High Performance Computing and Visualization (HPCViz). KTH, Centres, SeRC - Swedish e-Science Research Centre.ORCID iD: 0000-0003-0639-0639
KTH, School of Computer Science and Communication (CSC), High Performance Computing and Visualization (HPCViz). KTH, Centres, SeRC - Swedish e-Science Research Centre.ORCID iD: 0000-0002-5415-1248
KTH, School of Computer Science and Communication (CSC), High Performance Computing and Visualization (HPCViz). KTH, Centres, SeRC - Swedish e-Science Research Centre.ORCID iD: 0000-0002-9901-9857
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2015 (English)Conference paper, Published paper (Refereed)
Abstract [en]

Accelerators and, in particular, Graphics Processing Units (GPUs) have emerged as promising computing technologies which may be suitable for the future Exascale systems. Here, we present performance results of NekBone, a benchmark of the Nek5000 code, implemented with optimized OpenACC directives and GPUDirect communications. Nek5000 is a computational fluid dynamics code based on the spectral element method used for the simulation of incompressible flow. Results of an optimized NekBone version lead to 78 Gflops performance on a single node. In addition, a performance result of 609 Tflops has been reached on 16, 384 GPUs of the Titan supercomputer at Oak Ridge National Laboratory.

 

Place, publisher, year, edition, pages
2015. , 8 p.63-70 p.
Keyword [en]
NekBone/Nek5000, OpenACC, Spectral element method, GPUDi rect
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:kth:diva-180731ISBN: 978-84-608-2581-4 (print)OAI: oai:DiVA.org:kth-180731DiVA: diva2:896571
Conference
the Second International Workshop on Sustainable Ultrascale Computing Systems (NESUS 2015)
Note

QC 20160308

Available from: 2016-01-21 Created: 2016-01-21 Last updated: 2017-08-16Bibliographically approved

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Gong, JingMarkidis, StefanoSchliephake, MichaelLaure, Erwin
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Citation style
  • apa
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