CUDA-based real time surgery simulation
Department of Mechanical Aerospace and Nuclear Engineering, Rensselaer, Polytechnic Institute, Troy, NY
Studies in health technology and informatics, Vol. 132 (2008), pp. 260-262.
@article{youquan2008cuda,
title={CUDA-based Real Time Surgery Simulation},
author={Youquan, LIU and Suvranu, D.E.},
journal={Medicine meets virtual reality 16: parallel, combinatorial, convergent: NextMed by design},
pages={260},
isbn={1586038222},
year={2008},
publisher={Ios Pr Inc}
}
In this paper we present a general software platform that enables real time surgery simulation on the newly available compute unified device architecture (CUDA)from NVIDIA. CUDA-enabled GPUs harness the power of 128 processors which allow data parallel computations. Compared to the previous GPGPU, it is significantly more flexible with a C language interface. We report implementation of both collision detection and consequent deformation computation algorithms. Our test results indicate that the CUDA enables a twenty times speedup for collision detection and about fifteen times speedup for deformation computation on an Intel Core 2 Quad 2.66 GHz machine with GeForce 8800 GTX.
January 11, 2011 by hgpu
