Melchionna, SimoneBernaschi, MassimoSucci, SauroKaxiras, EfthimiosRybicki, Frank JohnMitsouras, DimitrisCoskun, Ahmet U.Feldman, Charles Lawrence2017-07-112010Melchionna, Simone, Massimo Bernaschi, Sauro Succi, Efthimios Kaxiras, Frank J. Rybicki, Dimitris Mitsouras, Ahmet U. Coskun, and Charles L. Feldman. 2010. Hydrokinetic Approach to Large-Scale Cardiovascular Blood Flow. Computer Physics Communications 181, no. 3: 462–472.0010-4655http://nrs.harvard.edu/urn-3:HUL.InstRepos:33371480We present a computational method for commodity hardware-based clinical cardiovascular diagnosis based on accurate simulation of cardiovascular blood flow. Our approach leverages the flexibility of the Lattice Boltzmann method to implementation on high-performance, commodity hardware, such as Graphical Processing Units. We developed the procedure for the analysis of real-life cardiovascular blood flow case studies, namely, anatomic data acquisition, geometry and mesh generation, flow simulation and data analysis and visualization. We demonstrate the usefulness of our computational tool through a set of large-scale simulations of the flow patterns associated with the arterial tree of a patient which involves two hundred million computational cells. The simulations show evidence of a very rich and heterogeneous endothelial shear stress pattern (ESS), a quantity of recognized key relevance to the localization and progression of major cardiovascular diseases, such as atherosclerosis, and set the stage for future studies involving pulsatile flows.en-USLattice BoltzmannComputational hemodynamicsAtherosclerosisAccelerator-based supercomputingJournal Article10.1016/j.cpc.2009.10.017