Shared-Memory Parallel Vector Implementation of the Immersed Boundary Method for the Computation of Blood Flow in the Beating Mammalian Heart

Authors:
David McQueen;Charles Peskin
Affiliations:
Courant Institute of Mathematical Sciences, New York University, 251 Mercer Street, New York, NY 10012 USA mcqueen@cims.nyu.edu;Courant Institute of Mathematical Sciences, New York University, 251 Mercer Street, New York, NY 10012 USA peskin@cims.nyu.edu
Venue:
The Journal of Supercomputing - Special issue on supercomputing in medicine
Year:
1997

Citing 2
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Abstract

This paper describes the parallel implementation of the immersedboundary method on a shared-memory machine such as the Cray C-90computer. In this implementation, outer loops are parallelized andinner loops are vectorized. The sustained computation rates achievedare 0.258 Gflops with a single processor, 1.89 Gflops with 8processors, and 2.50 Gflops with 16 processors. An application to thecomputer simulation of blood flow in the heart is presented.