Bauer M, Hötzer J, Ernst D, Hammer J, Seiz M, Hierl H, Hönig J, Köstler H, Wellein G, Nestler B, Rüde U (2019)
Publication Type: Conference contribution
Publication year: 2019
Publisher: IEEE Computer Society
Conference Proceedings Title: International Conference for High Performance Computing, Networking, Storage and Analysis, SC
ISBN: 9781450362290
This article describes the development of automatic program generation technology to create scalable phase-field methods for material science applications. To simulate the formation of microstructures in metal alloys, we employ an advanced, thermodynamically consistent phase-field method. A state-of-the-art large-scale implementation of this model requires extensive, time-consuming, manual code optimization to achieve unprecedented fine mesh resolution. Our new approach starts with an abstract description based on free-energy functionals which is formally transformed into a continuous PDE and discretized automatically to obtain a stencil-based time-stepping scheme. Subsequently, an automatized performance engineering process generates highly optimized, performance-portable code for CPUs and GPUs. We demonstrate the efficiency for real-world simulations on large-scale GPU-based (PizDaint) and CPU-based (SuperMUC-NG) supercomputers. Our technique simplifies program development and optimization for a wide class of models. We further outperform existing, manually optimized implementations as our code can be generated specifically for each phase-field model and hardware configuration.
APA:
Bauer, M., Hötzer, J., Ernst, D., Hammer, J., Seiz, M., Hierl, H.,... Rüde, U. (2019). Code generation for massively parallel phase-field simulations. In International Conference for High Performance Computing, Networking, Storage and Analysis, SC. Denver, CO, US: IEEE Computer Society.
MLA:
Bauer, Martin, et al. "Code generation for massively parallel phase-field simulations." Proceedings of the 2019 International Conference for High Performance Computing, Networking, Storage and Analysis, SC 2019, Denver, CO IEEE Computer Society, 2019.
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