A parallel Poisson solver using the fast multipole method on networks of workstations

We present a parallel Poisson solver on distributed computing environments. In the solver, the parallel implementation of the Fast Multipole Method (FMM) is designed to minimize amount of data communication and the number of data transfers and synchronizations. The experimental results show linear speedup, good load balancing, and reasonable performance under failure and demonstrate the viability of loosely coupled heterogeneous workstations for large scale scientific computations.