Source-to-Source Optimization of CUDA C for GPU Accelerated Cardiac Cell Modeling
Departments of Computer Science and Engineering, University of California, San Diego, 9500 Gilman Drive, La Jolla, CA 92093-0404 USA
Euro-Par 2010 – Parallel Processing, Lecture Notes in Computer Science, 2010, Volume 6271/2010, 38-49
@article{lionetti2010source,
title={Source-to-Source Optimization of CUDA C for GPU Accelerated Cardiac Cell Modeling},
author={Lionetti, F. and McCulloch, A. and Baden, S.},
journal={Euro-Par 2010-Parallel Processing},
pages={38–49},
year={2010},
publisher={Springer}
}
Large and complex systems of ordinary differential equations (ODEs) arise in diverse areas of science and engineering, and pose special challenges on a streaming processor owing to the large amount of state they manipulate. We describe a set of domain-specific source transformations on CUDA C that improved performance by x6.7 on a system of ODEs arising in cardiac electrophysiology running on the nVidia GTX-295, without requiring expert knowledge of the GPU. Our transformations should apply to a wide range of reaction-diffusion systems.
December 29, 2010 by hgpu
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