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UID:pretalx-juliacon2024-VHFAQ8@pretalx.com
DTSTART;TZID=CET:20240710T170000
DTEND;TZID=CET:20240710T173000
DESCRIPTION:We introduce [FastIce.jl](https://github.com/PTsolvers/FastIce.
 jl)\, a novel ice flow model for massively parallel architectures\, writte
 n in Julia. Leveraging GPUs (Nvidia\, AMD) and supporting distributed comp
 uting through MPI.jl\, FastIce.jl includes a thermo-mechanically coupled F
 ull-Stokes ice flow model. We present the performance testing of FastIce.j
 l in single-node and distributed scaling benchmarks on LUMI\, the largest 
 European supercomputer.
DTSTAMP:20260314T171217Z
LOCATION:For Loop (3.2)
SUMMARY:FastIce.jl: a massively parallel ice flow model running on GPUs - L
 udovic Räss\, Samuel Omlin\, Mauro Werder\, Ivan Utkin
URL:https://pretalx.com/juliacon2024/talk/VHFAQ8/
END:VEVENT
BEGIN:VEVENT
UID:pretalx-juliacon2024-N779AY@pretalx.com
DTSTART;TZID=CET:20240712T144400
DTEND;TZID=CET:20240712T150600
DESCRIPTION:We present a new approach to transition seamlessly and with unp
 recedented effectiveness from a single-CPU-core Python prototype to a Juli
 a application that is deployable on distributed GPUs. During porting of th
 e Python prototype to Julia\, the approach enables concurrent interactive 
 stepwise execution of both codes and systematic verification almost line b
 y line.
DTSTAMP:20260314T171217Z
LOCATION:Function (4.1)
SUMMARY:Seamless transition from single-core Python to Julia Multi-GPU - Sa
 muel Omlin
URL:https://pretalx.com/juliacon2024/talk/N779AY/
END:VEVENT
BEGIN:VEVENT
UID:pretalx-juliacon2024-QLVPSN@pretalx.com
DTSTART;TZID=CET:20240712T155000
DTEND;TZID=CET:20240712T160000
DESCRIPTION:We present a successful approach for a sustainable development 
 of stencil-based HPC applications in Julia. The approach includes automati
 c performance optimization for hardware-agnostic high-level kernels\, data
  layout abstractions enabling memory layouts optimized per backend\, and G
 PU-aware inter-process communication that is automatically hideable behind
  computation. We demonstrate on multiple examples near optimal performance
  and scaling on thousands of GPUs.
DTSTAMP:20260314T171217Z
LOCATION:Else (1.3)
SUMMARY:Sustainable Development of Stencil-based HPC Applications - Ludovic
  Räss\, Samuel Omlin\, Ivan Utkin
URL:https://pretalx.com/juliacon2024/talk/QLVPSN/
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