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Issue No.03 - May/June (2012 vol.14)
pp: 48-59
Didem Unat , University of California, San Diego
Jun Zhou , University of California, San Diego
Yifeng Cui , University of California, San Diego
Scott B. Baden , University of California, San Diego
Xing Cai , Simula Research Laboratory, Norway
ABSTRACT
<p>GPUs provide impressive computing power, but GPU programming can be challenging. Here, an experience in porting real-world earthquake code to Nvidia GPUs is described. Specifically, an annotation-based programming model, called Mint, and its accompanying source-to-source translator are used to automatically generate CUDA source code and simplify the exploration of performance tradeoffs.</p>
INDEX TERMS
Code generation, optimization, emerging technologies, Earth and atmospheric sciences, scientific computing
CITATION
Didem Unat, Jun Zhou, Yifeng Cui, Scott B. Baden, Xing Cai, "Accelerating a 3D Finite-Difference Earthquake Simulation with a C-to-CUDA Translator", Computing in Science & Engineering, vol.14, no. 3, pp. 48-59, May/June 2012, doi:10.1109/MCSE.2012.44
REFERENCES
1. D. Unat, X. Cai, and S.B. Baden, "Mint: Realizing CUDA Performance in 3D Stencil Methods with Annotated C," Proc. Int'l Conf. Supercomputing, ACM, 2011, pp. 214–224.
2. J. Virieux, "P-SV Wave Propagation in Heterogeneous Media: Velocity-Stress Finite-Difference Method," Geophysics, vol. 51, no. 4, 1986, pp. 889–901.
3. P. Moczo et al., "The Finite-Difference and Finite-Element Modeling of Seismic Wave Propagation and Earthquake Motion," Acta Physica Slovaca, vol. 57, no. 2, 2007, pp. 177–406.
4. T. Furumura and L. Chen, "Parallel Simulation of Strong Ground Motions During Recent and Historical Damaging Earthquakes in Tokyo, Japan," Parallel Computation, vol. 31, no. 2, 2005, pp. 149–165.
5. Y. Cui et al., "Scalable Earthquake Simulation on Petascale Supercomputers," Proc. 2010 ACM/IEEE Conf. Supercomputing, IEEE CS, 2010, pp. 1–20.
6. K.B. Olsen, "Simulation of Three-Dimensional Wave Propagation in the Salt Lake Basin," Bulletin Seismological Soc. of Am., vol. 85, no. 6, 1995, pp. 1688–1710.
7. K. Olsen et al., "Strong Shaking in Los Angeles Expected from Southern San Andreas Earthquake," Geophysical Research Letters, vol. 33, no. 7, 2006, pp. 2–5.
8. L. Dalguer and S.M. Day, "Staggered-Grid Split-Node Method for Spontaneous Rupture Simulation," J. Geophysical Research, vol. 112, no. B02302, 2007; doi:10.1029/2006JB004467.
9. A. Simone and S. Hestholm, "Instabilities in Applying Absorbing Boundary Conditions to High-Order Seismic Modeling Algorithms," Geophysics, vol. 63, no. 3, 1998, pp. 1017–1023.
10. J. Nickolls et al., "Scalable Parallel Programming with CUDA," Proc. Siggraph, 2008, ACM, pp. 1–14.
11. P. Micikevicius, "3D Finite Difference Computation on GPUs Using CUDA," Proc. 2nd Workshop General Purpose Processing on Graphics Processing Units, ACM, 2009, pp. 79–84.
12. D. Michéa and D. Komatitsch, "Accelerating a Three-Dimensional Finite-Difference Wave Propagation Code Using GPU Graphics Cards," Geophysical J. Int'l, vol. 182, no. 1, 2010, pp. 389–402.
13. S. Lee and R. Eigenmann, "OpenMPC: Extended OpenMP Programming and Tuning for GPUs," Proc. 2010 ACM/IEEE Conf. Supercomputing, IEEE CS, 2010, pp. 1–11.
14. A. Danalis et al., "The Scalable Heterogeneous Computing (SHOC) Benchmark Suite," Proc. 3rd Workshop on General-Purpose Computation on Graphics Processing Units, 2010, pp. 63–74.
15. V. Volkov and J.W. Demmel, "Benchmarking GPUs to Tune Dense Linear Algebra," Proc. 2008 ACM/IEEE Conf. Supercomputing, IEEE Press, 2008, pp. 31:1–31:11.
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