Presentation highlights how modeling stellar explosions improves through optimized reaction networks using AMReX and GPUs.
My presentation at the High Performance Software Foundation (HPSF) 2026 meeting. Abstract: The computational cost of modeling stellar explosions is often dominated by the reaction network, which makes it a natural target for performance optimization. Over the past decade, we developed a library of integrators that use AMReX to perform the integration directly on GPUs, and a python library, pynucastro, for creating custom AMReX C++ reaction networks for specific science applications. In this presentation I will give an overview of this reaction infrastructure and show some astrophysical applications.
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M. Zingale (2026) studied this question.
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