Advisor: Dr. Steven R. Lantz
Abstract: Simulations of solar convection are becoming more complicated in order to approximate reality better. However, more complicated models require more computer time and memory. This limits the complexity of the models simulated. Parallel computing promises to get around this problem by distributing the work load and data to many processors. This decreases both the amount of computation done by and the amount of data stored in each node. Because of this possibility, we attempted to write a parallel program that would serve as a modifiable basis for running different models of solar convection.
Kevin's Biographical Information