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: Victor A. Mateevitsi (Argonne National Laboratory (ANL)); Mathis Bode (Forschungzentrum Juelich); Nicola Ferrier (Argonne National Laboratory); Paul Fischer (University of Illinois at Urbana-Champaign); Jens Henrik Göbbert (Forschungzentrum Juelich); Joseph A. Insley, Yu-Hsiang Lan, Misun Min, Michael E. Papka, Saumil Patel, and Silvio Rizzi (Argonne National Laboratory); and Jonathan Windgassen (Forschungzentrum Juelich)
Abstract: Computational Fluid Dynamics (CFD) demands immense memory and computational power, leading to reliance on high-end computing platforms. Traditional methods, like checkpointing, are inefficient, often slowing simulations when data is saved. As technology advances towards exascale and GPU-powered High-Performance Computing (HPC), the dilemma emerges: either compromise data accuracy or decrease resolution. Addressing this, our research promotes in situ analysis and visualization techniques. This approach allows for more regular data snapshots directly from memory, bypassing the pitfalls of checkpointing. We delve into our application of NekRS, a GPU-centric thermal-fluid simulation code, showcasing diverse in situ strategies. To demonstrate real-world implications, we conducted experiments on the Polaris and JUWELS Booster supercomputers. These tests offer crucial insights, suggesting that with careful methodology, one can achieve efficient data management without compromising accuracy, even in the most demanding computational scenarios.