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Extreme scalability challenges in micro‐finite element simulations of human bone
Author(s) -
Bekas C.,
Curioni A.,
Arbenz P.,
Flaig C.,
Van Lenthe G. H.,
Müller R.,
Wirth A. J.
Publication year - 2010
Publication title -
concurrency and computation: practice and experience
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.309
H-Index - 67
eISSN - 1532-0634
pISSN - 1532-0626
DOI - 10.1002/cpe.1591
Subject(s) - scalability , computer science , finite element method , supercomputer , rendering (computer graphics) , conjugate gradient method , computational science , voxel , osteoporosis , parallel computing , massively parallel , artificial intelligence , algorithm , structural engineering , engineering , medicine , database , endocrinology
Coupling recent imaging capabilities with microstructural finite element (µFE) analysis offers a powerful tool to determine bone stiffness and strength. It shows high potential to improve the individual fracture risk prediction, a tool much needed in the diagnosis and treatment of osteoporosis, that is, according to the World Health Organization (WHO), second only to cardiovascular disease as a leading health‐care problem. We adapted a multilevel preconditioned conjugate gradient method to solve the very large voxel models that arise in the µFE bone structure analysis. The intricate microstructure properties of bone lead to sparse matrices with billions of rows, thus rendering this application to be an ideal candidate for massively parallel architectures such as the BG/L Supercomputer. In this work we present our progress as well as the challenges we were able to identify in our quest to achieve scalability to thousands of BG/L cores. Copyright © 2010 John Wiley & Sons, Ltd.