10098

Bone Structure Analysis with GPGPUs

Daniel Kellenberger
Department of Computer Science, Eidgenossische Technische Hochschule Zurich
Eidgenossische Technische Hochschule Zurich, 2013

@phdthesis{kellenberger2013bone,

   title={Bone Structure Analysis with GPGPUs},

   author={Kellenberger, Daniel},

   year={2013},

   school={Master Thesis}

}

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Osteoporosis is a disease that affects a growing number of people by increasing the fragility of their bones. To improve the understanding of the bone, large scaled computer simulations are applied. A fast, scalable and memory efficient solver for such problems is ParOSol. It uses the preconditioned conjugate gradient algorithm with a multigrid preconditioner. A modification of ParOSol is presented that profits from the exorbitant compute capabilities of recent GPGPUs. Different data-structures on the GPGPU are presented and compared. The fastest achieves a speedup of more than 5 while the code is scalable for huge numbers of GPGPUs.
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