SC19 Proceedings

The International Conference for High Performance Computing, Networking, Storage, and Analysis

Poster 53: Unstructured Mesh Technologies for Fusion Simulations

Authors: Cameron Smith (Rensselaer Polytechnic Institute (RPI)), Gerrett Diamond (Rensselaer Polytechnic Institute (RPI)), Gopan Perumpilly (Rensselaer Polytechnic Institute (RPI)), Chonglin Zhang (Rensselaer Polytechnic Institute (RPI)), Agnieszka Truszkowska (Rensselaer Polytechnic Institute (RPI)), Morteza Hakimi (Rensselaer Polytechnic Institute (RPI)), Onkar Sahni (Rensselaer Polytechnic Institute (RPI)), Mark Shephard (Rensselaer Polytechnic Institute (RPI)), Eisung Yoon (Ulsan National Institute of Science and Technology, South Korea), Daniel Ibanez (Sandia National Laboratories)

Abstract: Multiple unstructured mesh technologies are needed to define and execute plasma physics simulations. The domains of interest combine model features defined from physical fields within 3D CAD of the tokamak vessel with an antenna assembly, and 2D cross sections of the tokamak vessel. Mesh generation technologies must satisfy these geometric constraints and additional constraints imposed by the numerical models. Likewise, fusion simulations over these domains study a range of timescales and physical phenomena within a tokamak.

XGCm studies the development of plasma turbulence in the reactor vessel, GITRm studies impurity transport, and PetraM simulations model RF wave propagation in scrape off layer plasmas. GITRm and XGCm developments are using the PUMIpic infrastructure to manage the storage and access of non-uniform particle distributions in unstructured meshes on GPUs. PetraM combines PUMI adaptive unstructured mesh control with MFEM using CAD models and meshes defined with Simmetrix tools.

Best Poster Finalist (BP): no

Poster: PDF
Poster summary: PDF

Back to Poster Archive Listing