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UID:pretalx-juliacon-2026-PGGCJK@pretalx.com
DTSTART;TZID=CET:20260813T100000
DTEND;TZID=CET:20260813T103000
DESCRIPTION:We present a successful approach for building a Reactant backen
 d for ParallelStencil\, a Julia package for high-performance stencil compu
 tations. The approach includes the generation of kernel code and data stru
 ctures that are pre-optimized to serve as optimal input for Reactant to ge
 nerate efficient and correct GPU\, TPU\, and CPU code. We report performan
 ce of representative stencil mini-apps on latest-generation hardware platf
 orms\, including NVIDIA H100 GPUs\, AMD MI300a GPUs\, and Google TPUs\, ev
 aluate it in absolute terms\, and compare it with performance obtained wit
 h established backends that directly generate hardware-specific low-level 
 code.
DTSTAMP:20260502T104507Z
LOCATION:Room 3
SUMMARY:From Stencils to XLA: A Reactant Backend for ParallelStencil.jl - S
 amuel Omlin\, William Moses
URL:https://pretalx.com/juliacon-2026/talk/PGGCJK/
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