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This work starts an in situ processing capability to study a certaindiffusion process in magnetic confinement fusion. This diffusion processinvolves plasma particles that are likely to escape confinement. Such particlescarry a significant amount of energy from the burning plasma inside the tokamakto the diverter and damaging the diverter plate. This study requires in situprocessing because of the fast changing nature of the particle diffusionprocess. However, the in situ processing approach is challenging because theamount of data to be retained for the diffusion calculations increases overtime, unlike in other in situ processing cases where the amount of data to beprocessed is constant over time. Here we report our preliminary efforts tocontrol the memory usage while ensuring the necessary analysis tasks arecompleted in a timely manner. Compared with an earlier naive attempt todirectly computing the same diffusion displacements in the simulation code,this in situ version reduces the memory usage from particle information bynearly 60% and computation time by about 20%.

Unraveling Diffusion in Fusion Plasma: A Case Study of In Situ Processing and Particle Sorting