Matrix-Free Finite Volume Kernels on a Dataflow Architecture

Fast and accurate numerical simulations are crucial for designing large-scale geological carbon storage projects ensuring safe long-term CO 2 containment as a climate change mitigation strategy. These simulations involve solving numerous large and complex linear systems arising from the implicit Fin...

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Veröffentlicht in:	SC24: International Conference for High Performance Computing, Networking, Storage and Analysis S. 1 - 11
Hauptverfasser:	Sai, Ryuichi, Hamon, Francois P., Mellor-Crummey, John, Araya-Polo, Mauricio
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 17.11.2024
Schlagworte:	Bandwidth Climate change Computational modeling dataflow architecture distributed memory energy finite-volume high-performance computing In-memory computing Linear systems matrix-free linear solver Numerical models Numerical simulation Prevention and mitigation Solid modeling wafer-scale engine
Online-Zugang:	Volltext
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