Sherwood 2023

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Abstracts

Author: David Pugmire
Requested Type: Poster
Submitted: 2023-04-07 08:16:09

Co-authors: D. Pugmire, S. Klasky, J. Choi, E. Suchyta, K. Moreland, C. Chang, S. Ku, T. Athawale

Contact Info:
Oak Ridge National Laboratory
One Bethel Valley Road
Oak Ridge, TN   37831
USA

Abstract Text:
Understanding the magnetic field that confines plasma is critical for advances in fusion science. While the magnetic field can be described as a vector field, traditional techniques for analyzing the field's topology cannot be used because of its Hamiltonian nature. In this setting, Poincaré plots becomes a powerful tool for analysis. The generation of Poincaré plots can be computationally expensive and run as both in situ and post hoc processes in a scientific workflow. In this poster we describe a Poincaré visualization service with two key features. First, hardware portability allows the service to run on multi-core CPUs, and on NVIDIA, AMD, and/or Intel GPUs. Second, the data access abstractions in the service allows on-the-fly switching between in situ and post hoc usage.

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