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pro vyhledávání: '"Dana Jacobsen"'
Autor:
Dana Jacobsen, Inanc Senocak
Publikováno v:
Parallel Computing. 39:1-20
We investigate multi-level parallelism on GPU clusters with MPI-CUDA and hybrid MPI-OpenMP-CUDA parallel implementations, in which all computations are done on the GPU using CUDA. We explore efficiency and scalability of incompressible flow computati
Publikováno v:
Computing in Science & Engineering. 15:26-33
A dual-level parallel incompressible flow solver accelerates turbulent flow computations on GPU clusters. This approach solves the pressure Poisson equation with a full-depth, amalgamated parallel geometric multigrid method, and implements a Lagrangi
Autor:
Dana Jacobsen, Inanc Senocak
Publikováno v:
49th AIAA Aerospace Sciences Meeting including the New Horizons Forum and Aerospace Exposition.
Numerical computations of incompressible flow equations with pressure-based algorithms necessitate the solution of an elliptic Poisson equation, for which multigrid methods are known to be very efficient. In our previous work we presented a dual-leve
Autor:
Dana Jacobsen, Inanc Senocak
Publikováno v:
49th AIAA Aerospace Sciences Meeting including the New Horizons Forum and Aerospace Exposition.
High performance computing using graphics processing units (GPUs) is gaining popularity in the scientific computing field, with many large compute clusters being augmented with multiple GPUs in each node. We investigate hybrid tri-level (MPI-OpenMP-C
Publikováno v:
48th AIAA Aerospace Sciences Meeting Including the New Horizons Forum and Aerospace Exposition.
Modern graphics processing units (GPUs) with many-core architectures have emerged as general-purpose parallel computing platforms that can accelerate simulation science applications tremendously. While multiGPU workstations with several TeraFLOPS of