Scalable parallel micromagnetic solvers for magnetic nanostructures
A parallel finite element micromagnetics package has been implemented, that is highly
scalable, easily portable and combines different solvers for the micromagnetic equations.
The implementation is based on the standard Galerkin discretization on tetrahedral meshes
with linear basis functions. A static energy minimization, a dynamic time integration, and the
nudged elastic band method have been implemented. The details of the implementation and
some aspects of the optimization are discussed and timing and speedup results are given …
scalable, easily portable and combines different solvers for the micromagnetic equations.
The implementation is based on the standard Galerkin discretization on tetrahedral meshes
with linear basis functions. A static energy minimization, a dynamic time integration, and the
nudged elastic band method have been implemented. The details of the implementation and
some aspects of the optimization are discussed and timing and speedup results are given …
[PDF][PDF] Scalable Parallel Micromagnetic Solvers for Magnetic Nanostructures
WSJFT Schrefl, D Suess - Citeseer
A parallel finite element micromagnetics package has been implemented, that is highly
scalable, easily portable and combines different solvers for the micromagnetic equations.
The implementation is based on the standard Galerkin discretization on tetrahedral meshes
with linear basis functions. A static energy minimization, a dynamic time integration, and the
nudged elastic band method have been implemented. The details of the implementation and
some aspects of the optimization are discussed and timing and speedup results are given …
scalable, easily portable and combines different solvers for the micromagnetic equations.
The implementation is based on the standard Galerkin discretization on tetrahedral meshes
with linear basis functions. A static energy minimization, a dynamic time integration, and the
nudged elastic band method have been implemented. The details of the implementation and
some aspects of the optimization are discussed and timing and speedup results are given …
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