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Issue No.03 - May/June (2012 vol.14)
pp: 48-59
Jun Zhou , University of California, San Diego
Yifeng Cui , University of California, San Diego
Didem Unat , University of California, San Diego
Xing Cai , Simula Research Laboratory, Norway
<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>
Code generation, optimization, emerging technologies, Earth and atmospheric sciences, scientific computing
Jun Zhou, Yifeng Cui, Didem Unat, 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
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