The International Conference for High Performance Computing, Networking, Storage, and Analysis
The International Conference for High Performance Computing, Networking, Storage, and Analysis
Workshop: ISAV23: In Situ Infrastructures for Enabling Extreme-Scale Analysis and Visualization
Authors: Junmin Gu, Paul Lin, and Kesheng Wu (Lawrence Berkeley National Laboratory (LBNL)); Seung-Hoe Ku, C.S. Chang, and R. Michael Churchill (Princeton Plasma Physics Laboratory); and John Choi, Norbert Podhorszki, and Scott Klasky (Oak Ridge National Laboratory)
Abstract: This work explores a new use case of an in situ processing capability to study a certain diffusion process in magnetic confinement fusion. This diffusion process involves plasma particles that are likely to escape confinement, because such particles carry a significant amount of energy from the burning plasma to the diverter and damaging the diverter plate. This study requires in situ processing because of the fast changing nature of the particle diffusion process. However, the in situ processing approach is challenging because the amount of data to be retained for the diffusion calculations increases over time, unlike in other in situ processing cases where the amount of data to be processed is constant over time. Here we report our preliminary efforts to control the memory usage while ensuring the necessary analysis tasks are completed in a timely manner.