The Exascale Framework for High Fidelity coupled Simulations (EFFIS): Enabling whole device modeling in fusion science

Author:

Suchyta Eric1ORCID,Klasky Scott1,Podhorszki Norbert1,Wolf Matthew1,Adesoji Abolaji2,Chang CS3,Choi Jong1,Davis Philip E4,Dominski Julien3,Ethier Stéphane3,Foster Ian5ORCID,Germaschewski Kai6,Geveci Berk7,Harris Chris7,Huck Kevin A8,Liu Qing9,Logan Jeremy1,Mehta Kshitij1,Merlo Gabriele10,Moore Shirley V11,Munson Todd5,Parashar Manish12,Pugmire David1,Shephard Mark S2,Smith Cameron W2ORCID,Subedi Pradeep4,Wan Lipeng1,Wang Ruonan1,Zhang Shuangxi2

Affiliation:

1. Oak Ridge National Laboratory, Oak Ridge, TN, USA

2. Rensselaer Polytechnic Institute, Troy, NY, USA

3. Princeton Plasma Physics Laboratory, Princeton, NJ, USA

4. Department of Computer Science, The Rutgers Discovery Informatics Institute, Rutgers University, New Brunswick, NJ, USA

5. Argonne National Laboratory, Lemont, IL, USA

6. Department of Physics and Astronomy, University of New Hampshire, Durham, NH, USA

7. Kitware, Inc., Clifton Park, NY, USA

8. Oregon Advanced Computing Institute for Science and Society, University of Oregon, Eugene, OR, USA

9. New Jersey Institute of Technology, Newark, NJ, USA

10. Oden Institute for Computational Engineering and Sciences, University of Texas at Austin, Austin, TX, USA

11. University of Texas, El Paso, TX, USA

12. Scientific Computing and Imaging Institute, University of Utah, Salt Lake City, UT, USA

Abstract

We present the Exascale Framework for High Fidelity coupled Simulations (EFFIS), a workflow and code coupling framework developed as part of the Whole Device Modeling Application (WDMApp) in the Exascale Computing Project. EFFIS consists of a library, command line utilities, and a collection of run-time daemons. Together, these software products enable users to easily compose and execute workflows that include: strong or weak coupling, in situ (or offline) analysis/visualization/monitoring, command-and-control actions, remote dashboard integration, and more. We describe WDMApp physics coupling cases and computer science requirements that motivate the design of the EFFIS framework. Furthermore, we explain the essential enabling technology that EFFIS leverages: ADIOS for performant data movement, PerfStubs/TAU for performance monitoring, and an advanced COUPLER for transforming coupling data from its native format to the representation needed by another application. Finally, we demonstrate EFFIS using coupled multi-simulation WDMApp workflows and exemplify how the framework supports the project’s needs. We show that EFFIS and its associated services for data movement, visualization, and performance collection does not introduce appreciable overhead to the WDMApp workflow and that the resource-dominant application’s idle time while waiting for data is minimal.

Funder

Office of Science

Publisher

SAGE Publications

Subject

Hardware and Architecture,Theoretical Computer Science,Software

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1. 3D high-fidelity automated neutronics guided optimization of fusion blanket designs;Fusion Engineering and Design;2024-03

2. Benchmarking a portable lattice quantum chromodynamics kernel written in Kokkos and MPI;Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, Network, Storage, and Analysis;2023-11-12

3. Online and Scalable Data Compression Pipeline with Guarantees on Quantities of Interest;2023 IEEE 19th International Conference on e-Science (e-Science);2023-10-09

4. 2022 Review of Data-Driven Plasma Science;IEEE Transactions on Plasma Science;2023-07

5. Scalable multi-physics for fusion reactors with AURORA;Plasma Physics and Controlled Fusion;2022-12-21

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