10098

Bone Structure Analysis with GPGPUs

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

Download Download (PDF)   View View   Source Source   

1617

views

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.
No votes yet.
Please wait...

* * *

* * *

HGPU group © 2010-2025 hgpu.org

All rights belong to the respective authors

Contact us:

contact@hpgu.org