Highly scalable implementations can now make simulations of computational models possible. Theoretical and experimental research in algorithms for parallel computing machines has as an objective to evaluate the effectiveness of scalable parallel computing systems across a very broad range of scientific applications and to identify the nature and degree of factors that impede efficiency. The goal of algorithm mapping is to minimize the factors that contribute to performance degradation, such as communication, load imbalance and overhead. Furthermore, the goal of minimizing communication may be modeled as a graph partitioning problem. Funding for one year available.
Additional funding depends on candidate's research progress.
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