These parallelizations apply to the original FMM formulation and to our new matrix formulation with BLAS (basic linear algebra subprograms) routines.
We present in this paper multi-thread and multi-process parallelizations of the Fast Multipole Method (FMM) for. Laplace equation, for uniform and non ...
We present in this paper multi-thread and multi-process parallelizations of the fast multipole method (FMM) for Laplace equation, for uniform and non ...
We present in this paper multi-thread and multi-process parallelizations of the fast multipole method (FMM) for Laplace equation, for uniform and non ...
Multi-thread and multi-process parallelizations of the fast multipole method for Laplace equation, for uniform and non uniform distributions are presented, ...
We present in this paper multi-thread and multi-process parallelizations of the Fast Multipole Method (FMM) for Laplace equation, for uniform and non uniform ...
Feb 14, 2007 · We present in this paper multi-thread and multi-process parallelizations of the Fast Multipole Method (FMM) for Laplace equation, ...
In an MPI and OpenMP hybrid version, for the same set of CPUs, the equivalent setting is to choose the number of openMP threads per MPI rank. Note that you ...
Missing: Fast | Show results with:Fast
We present in this paper multi-thread and multi-process parallelizations of the Fast Multipole Method (FMM) for Laplace equation, for uniform and non ...
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Apr 22, 2020 · I would say that MPI can be faster as you can create multiple processes instead of multiple threads.
Missing: Multipole Method.