TY - GEN
T1 - Hybrid Analysis of Fusion Data for Online Understanding of Complex Science on Extreme Scale Computers
AU - Suchyta, Eric
AU - Choi, Jong Youl
AU - Ku, Seung Hoe
AU - Pugmire, David
AU - Gainaru, Ana
AU - Huck, Kevin
AU - Kube, Ralph
AU - Scheinberg, Aaron
AU - Suter, Frederic
AU - Chang, Choongseock
AU - Munson, Todd
AU - Podhorszki, Norbert
AU - Klasky, Scott
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - The current practice for fusion scientists running first principle simulations on high performance computing plat-forms is to either run their simulations and output their data for post-hoc analysis, or to place in situ analytics into their code. In this paper we examine a complex workflow using XGC fusions simulation run on the Oak Ridge Leadership Computing Facility's supercomputer Summit, which also involve three anal-yses as part of the results necessary for scientific discovery. We discuss the challenges faced when implementing these algorithms and present an original hybrid staging technique to help enable the physicists to make discoveries during the execution of the simulation. By creating this infrastructure, we can examine complicated physics results, which may not have been possible without the infrastructure. For example, our work enables the online visualization of turbulent homoclinic tangle around the magnetic X-point, breaking the last confinement surface. This visualization could help fusion scientists to better understand and improve the turbulence spread of plasma exhaust heat, which is crucial toward realizing plasmas beyond the currently accessible physics regimes of present-day tokamak reactors. The physics of turbulent homoclinic tangle will be reported in a future physics publication, by utilizing the original online analysis/visualization framework presented in this paper.
AB - The current practice for fusion scientists running first principle simulations on high performance computing plat-forms is to either run their simulations and output their data for post-hoc analysis, or to place in situ analytics into their code. In this paper we examine a complex workflow using XGC fusions simulation run on the Oak Ridge Leadership Computing Facility's supercomputer Summit, which also involve three anal-yses as part of the results necessary for scientific discovery. We discuss the challenges faced when implementing these algorithms and present an original hybrid staging technique to help enable the physicists to make discoveries during the execution of the simulation. By creating this infrastructure, we can examine complicated physics results, which may not have been possible without the infrastructure. For example, our work enables the online visualization of turbulent homoclinic tangle around the magnetic X-point, breaking the last confinement surface. This visualization could help fusion scientists to better understand and improve the turbulence spread of plasma exhaust heat, which is crucial toward realizing plasmas beyond the currently accessible physics regimes of present-day tokamak reactors. The physics of turbulent homoclinic tangle will be reported in a future physics publication, by utilizing the original online analysis/visualization framework presented in this paper.
KW - Extreme Scale
KW - Fusion Science
KW - Online Analysis and Visualization
KW - Workflows
UR - http://www.scopus.com/inward/record.url?scp=85140923528&partnerID=8YFLogxK
U2 - 10.1109/CLUSTER51413.2022.00035
DO - 10.1109/CLUSTER51413.2022.00035
M3 - Conference contribution
AN - SCOPUS:85140923528
T3 - Proceedings - IEEE International Conference on Cluster Computing, ICCC
SP - 218
EP - 229
BT - Proceedings - 2022 IEEE International Conference on Cluster Computing, CLUSTER 2022
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2022 IEEE International Conference on Cluster Computing, CLUSTER 2022
Y2 - 6 September 2022 through 9 September 2022
ER -