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DTSTAMP:20260605T154540Z
LOCATION:Plenary Room (Bldg. 6 - 001)
DTSTART;TZID=Europe/Stockholm:20260629T192400
DTEND;TZID=Europe/Stockholm:20260629T192500
UID:submissions.pasc-conference.org_PASC26_sess124_pos140@linklings.com
SUMMARY:P05 - Bridging Python Flexibility and GPU Performance with Aithon:
 "Kernel-Level Optimization, Scaling, and Extreme-Resolution MHD Turbulence
  Simulations"
DESCRIPTION:Manthan Verma (Indian Institute of Technology kanpur) and Gina
  Sitaraman and Paul Mullowney (AMD)\n\nWe present Aithon, a GPU-accelerate
 d incompressible flow solver for hydrodynamics and magnetohydrodynamics, d
 esigned for extreme-scale supercomputing. Optimized for AMD MI250X GPUs an
 d deployed on the Frontier system, Aithon combines kernel-level GPU optimi
 zations, CUDA/HIP-aware MPI, and Python integration via pybind11 to achiev
 e near-ideal scaling up to 32,768 GPUs. These capabilities enable some of 
 the highest-resolution MHD turbulence simulations (in 2D) to date, reachin
 g $8192^2$ and $1536^3$ grids. Using multiple independent diagnostics, we 
 resolve a decades-old debate on inertial-range spectral scaling, providing
  compelling numerical evidence in favor of Kolmogorov scaling. This work d
 emonstrates how extreme-scale GPU computing can directly enable definitive
  scientific breakthroughs.\n\nSession Chair: Miroslava Nedyalkova (Univers
 ity of Fribourg)\n\n
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