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UID:pretalx-juliacon-2026-VFZ9X7@pretalx.com
DTSTART;TZID=CET:20260813T113000
DTEND;TZID=CET:20260813T114500
DESCRIPTION:Efficient simulation of multiphase flows remains a major challe
 nge\, particularly for cloud microphysical processes in which interactions
  between turbulent airflow and suspended droplets must be resolved in deta
 il. We present a novel asynchronous two-way coupled Euler–Lagrange simul
 ation framework that exploits heterogeneous computing architectures to ach
 ieve unprecedented scalability.\n\nThe proposed method executes Eulerian f
 ield calculations on CPUs using the OpenFOAM software package\, coupled as
 ynchronously to Lagrangian particle tracking on GPUs implemented in Julia\
 , minimizing computational idling times and synchronization barriers. Data
  transfers are initiated immediately upon data availability\, with Euleria
 n source terms predicted from previous time steps and subsequently correct
 ed to ensure conservation of mass and momentum. Particles are organized in
 to cache-friendly chunks with maintained bounding boxes\, enabling dynamic
  load balancing across GPUs and optimized CPU-GPU data transfers.\n\nCompr
 ehensive testing on a local workstation and on a EuroHPC JU supercomputer 
 revealed dramatic improvements: the algorithm achieves excellent scalabili
 ty up to 256 billion droplets. The overall time-to-solution improved by a 
 factor of 4.5\, while energy efficiency improved 3.4 times compared to est
 ablished methods. Weak and strong scaling tests demonstrated very good eff
 iciency and speedup using up to 2500 cores paired with 256 GPUs.\n\nThe so
 ftware is available in a public GIT repository at https://github.com/Wikki
 -GmbH/SCALE-TRACK
DTSTAMP:20260502T093459Z
LOCATION:Room 3
SUMMARY:Asynchronous Field-Particle Coupling for Multiphase Cloud Simulatio
 n using Heterogeneous HPC - Henrik Rusche
URL:https://pretalx.com/juliacon-2026/talk/VFZ9X7/
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