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UID:pretalx-juliacon-2026-Y7LGHP@pretalx.com
DTSTART;TZID=CET:20260813T104500
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DESCRIPTION:[TrixiParticles.jl](https://github.com/trixi-framework/TrixiPar
 ticles.jl) is an open-source framework for accessible particle-based multi
 physics. In this talk\, we demonstrate how to leverage modern\, GPU-centri
 c HPC hardware for complex fluid–structure interaction (FSI) simulations
 . Using a carbon-fiber freediving fin as a case study\, we discuss the num
 erical challenges of extremely stiff and thin blades\, and present perform
 ance benchmarks across different CPU and GPU architectures to showcase cro
 ss-platform efficiency.
DTSTAMP:20260502T100950Z
LOCATION:Room 3
SUMMARY:TrixiParticles.jl on GPUs: A Deep Dive into Simulating Fluid Dynami
 cs of Carbon Fiber Fins - Erik Faulhaber
URL:https://pretalx.com/juliacon-2026/talk/Y7LGHP/
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