| ... | ... | @@ -6,8 +6,8 @@ The price for the broad applicability and mathematical elegance of this approach |
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The goal of the BMBF project “ParaPhase - space-time parallel adaptive simulation of phase-field models on HPC architectures” (FKZ 01IH15005A, BMBF program “[IKT 2020 - Forschung für Innovation](https://www.bmbf.de/de/ikt-2020-forschung-fuer-innovation-854.html)") is the development of algorithms and methods that allow for highly efficient space-time parallel and adaptive simulations of phase-field problems. Three key aspects will be addressed in the course of the project:
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1. **Heterogeneous parallelization in space.** The adaptive phase-field multigrid algorithm TNNMG [3] will be parallelized using load-balanced decomposition techniques and GPU-based acceleration of the smoother.
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1. **Innovative parallelization in time.** For optimal parallel performance even on extreme scale platforms, novel approaches like Parareal and the “parallel full approximation scheme in space and time” [4] for the parallelization in the temporal direction will be used, exploiting the hierarchical structures of spatial discretization and solver.
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1. **Heterogeneous parallelization in space.** The adaptive phase-field multigrid algorithm TNNMG will be parallelized using load-balanced decomposition techniques and GPU-based acceleration of the smoother.
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1. **Innovative parallelization in time.** For optimal parallel performance even on extreme scale platforms, novel approaches like Parareal and the “parallel full approximation scheme in space and time” for the parallelization in the temporal direction will be used, exploiting the hierarchical structures of spatial discretization and solver.
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1. **High-order methods in space and time.** To increase the arithmetic intensity, i.e., the ratio between computation and memory access, flexible high-order methods in space (using the Discontinuous Galerkin approach) and time (using spectral deferred corrections) will be implemented and combined.
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| ... | ... | @@ -16,4 +16,4 @@ The interdisciplinary consortium led by the Jülich Supercomputing Centre consis |
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With two post docs and three PhD students fully funded by BMBF, this work will also contribute to the educational effort in the field of computational science and engineering, enabling young scientists to address challenges of real-world applications with HPC-ready methods and algorithms.
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