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Bone structure analysis on multiple GPGPUs
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DOI：10.1016/j.jpdc.2014.06.014.png)
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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 quality, large scale 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 general-purpose graphics processing units (GPGPUs). Adaptations of data structures for the GPGPU are discussed. The fastest implementation on a GPGPU achieves a speedup of more than five compared with the CPU implementation and scales from 1 to at least 256 GPGPUs. (C) 2014 Elsevier Inc. All rights reserved.
Keyword:
Micro finite element analysis
Voxel-based computation
Element-by-element sparse matrix-vector multiplication
Multiple GPGPUs
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