Study of Parallel Algorithm Based on OpenMP in Myocardial Simulation
Computer simulation is an important method in the study of cardiac electrophysiology. However, complicated studies in tissues are difficult because of the long computation time. In order to speed up the simulation, in this paper a parallel algorithm based on OpenMP was studied on a multi-core computer. The Noble 91 mathematical model was used to develop a two-dimensional tissue. By initiating a reentrant wave, properties of the conventional sequential program, programs of the data parallelism and functional parallelism were analyzed and compared. The results showed that the execution time of the data parallelism was only about one-fourth of the sequential execution time and its efficiency was high, however, the execution time of the functional parallelism was approximately ten times of the sequential execution time and its efficiency became low. Therefore, the method of the data parallelism could significantly reduce the computation time and was suggested to be a good choice in the myocardial simulation.
Helen Zhang, Gang Shen and David Jin
J. Wang et al., "Study of Parallel Algorithm Based on OpenMP in Myocardial Simulation", Advanced Materials Research, Vols. 204-210, pp. 1584-1587, 2011