University of North Texas Digital Library (University of North Texas) · 1997 · 13 citations · 6 references
Open access
ComputingComputer ScienceHigh-performance Computing3D ModelingComputational Materials ScienceParallel ComputingCastingCasting SolidificationData ParallelismFinite Volume MethodsMetal CastingParallel Numerical MethodsCasting SimulationDistributed-memory ArchitecturesFinite Volume DiscretizationFinite Volume SimulationFinite-volume ResolutionParallelizationPhysical ModelsScatter-gather Operations
We discuss selected aspects of a new parallel three-dimensional (3-D) computational tool for the unstructured mesh simulation of Los Alamos National Laboratory (LANL) casting processes. This tool, known as Telluride, draws upon robust, high resolution finite volume solutions of metal alloy mass, momentum, and enthalpy conservation equations to model the filling, cooling, and solidification of LANL castings. We briefly describe the current Telluride physical models and solution methods, then detail our parallelization strategy as implemented with Fortran 90 (F90). This strategy has yielded straightforward and efficient parallelization on distributed and shared memory architectures, aided in large part by new parallel libraries JTpack90 [21] for Krylov-subspace iterative solution methods and PGSLib [7] for efficient gather/scatter operations. We illustrate our methodology and current capabilities with source code examples and parallel efficiency results for a LANL casting simu...
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