Load Balancing Performance in a Quantum Monte Carlo Method

Abstract

We have developed and tested algorithms for use in Quantum Monte Carlo simulations in a parallel environment using MPI. The difficulty in developing an efficient parallel algorithm lies in the randomness of the size of the computational tasks distributed to the processors. We report here on characterization of the random load and its impact on the… (More)

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