Parallel Paradigm for Ultraparallel Multi-Scale Brain Blood Flow Simulations
L Grinberg and GE Karniadakis, PROCEEDINGS OF THE SECOND INTERNATIONAL CONFERENCE ON PARALLEL, DISTRIBUTED, GRID AND CLOUD COMPUTING FOR ENGINEERING, 95 (2011).
We describe a computational framework for coupling an array of parallel numerical solvers, each designed to tackle a flow problem at different spatial and temporal scale. Specifically, we describe an architecture of the ultraparallel metasolver N epsilon kT alpha rG for multiscale blood flow simulations. We focus on the multi-level communicating interface (MCI) which provides an efficient communication between hundreds of thousands of computer processors used by the solvers. Performance is evaluated using specifically designed benchmark problems and also a "real-life" simulation of a blood flow in the arterial network of the brain.
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