A Study of Performance Portability Using Piecewise-Parabolic Method (PPM) Gas Dynamics Applications-Reference-Cited by-同舟云学术

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A Study of Performance Portability Using Piecewise-Parabolic Method (PPM) Gas Dynamics Applications

Published:2012 Issue: Volume:9 Page:1988-1991
ISSN:1877-0509
Container-title:Procedia Computer Science
language:en
Short-container-title:Procedia Computer Science

Author:

Lin Pei-Hung,Jayaraj Jagan,Woodward Paul,Yew Pen-Chung

Publisher

Elsevier BV

Subject

General Engineering

Reference4 articles.

1. P. Woodward, J. Jayaraj, P. Lin, and P. Yew, “Moving scientific codes to multicore microprocessor CPUs,” Computing in Science & Engineering, 2008, pp. 16-25.

2. P. R. Woodward, J. Jayaraj, P. Lin, and W. Dai, “First experience of compressible gas dynamics simulation on the Los Alamos roadrunner machine,” Concurrency and Computation: Practice & Experience, vol. 21, no. 17, Dec. 2009, pp. 2160-2175.

3. GPU Acceleration of NWP: Benchmark Kernels Webpage. http://www.mmm.ucar.edu/wrf/WG2/GPU/.

4. T. Shimokawabe et al., “An 80-Fold Speedup, 15.0 TFlops Full GPU Acceleration of Non-Hydrostatic Weather Model ASUCA Production Code,” in SC International Conference for High Performance Computing, Networking, Storage & Analysis, 2010, pp. 1-11.

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1. Transforming the multifluid PPM algorithm to run on GPUs;Journal of Parallel and Distributed Computing;2016-07

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