Nek5000 with OpenACC

Gong J, Markidis S, Schliephake M, Laure E, Henningson D, Schlatter P, Peplinski A, Hart A, Doleschal J, Henty D, Fischer P (2015)


Publication Type: Conference contribution

Publication year: 2015

Journal

Publisher: Springer Verlag

Book Volume: 8759

Pages Range: 57-68

Conference Proceedings Title: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Event location: Stockholm, SWE

ISBN: 9783319159751

DOI: 10.1007/978-3-319-15976-8_4

Abstract

Nek5000 is a computational fluid dynamics code based on the spectral element method used for the simulation of incompressible flows. We follow up on an earlier study which ported the simplified version of Nek5000 to a GPU-accelerated system by presenting the hybrid CPU/GPU implementation of the full Nek5000 code using OpenACC. The matrix-matrix multiplication, the Nek5000 gather-scatter operator and a preconditioned Conjugate Gradient solver have implemented using OpenACC for multi-GPU systems.We report an speed-up of 1.3 on single node of a Cray XK6 when using OpenACC directives in Nek5000. On 512 nodes of the Titan supercomputer, the speed-up can be approached to 1.4. A performance analysis of the Nek5000 code using Score-P and Vampir performance monitoring tools shows that overlapping of GPU kernels with host-accelerator memory transfers would considerably increase the performance of the OpenACC version of Nek5000 code.

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How to cite

APA:

Gong, J., Markidis, S., Schliephake, M., Laure, E., Henningson, D., Schlatter, P.,... Fischer, P. (2015). Nek5000 with OpenACC. In Stefano Markidis, Erwin Laure (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 57-68). Stockholm, SWE: Springer Verlag.

MLA:

Gong, Jing, et al. "Nek5000 with OpenACC." Proceedings of the International Conference on Exascale Applications and Software, EASC 2014, Stockholm, SWE Ed. Stefano Markidis, Erwin Laure, Springer Verlag, 2015. 57-68.

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