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DTSTART;TZID=Europe/Stockholm:20260701T120000
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UID:submissions.pasc-conference.org_PASC26_sess176_pap103@linklings.com
SUMMARY:Accelerate Radiative Transfer Simulations for the Cosmic Epoch of 
 Reionisation
DESCRIPTION:Michele Bianco and Tommaso Boschi (ETH Zurich), Christopher Bi
 gnamini (ETH Zurich / CSCS), Osman Seckin Simsek (University of Basel), Se
 bastian Keller (ETH Zurich / CSCS), Florina M. Ciorba (University of Basel
 ), Yves Revaz (EPFL), and Alexandre Refregier (ETH Zurich)\n\nThe most tim
 e-consuming part of radiative transfer cosmological simulations for the Ep
 och of Reionisation is the ray-tracing algorithm. This involves computing 
 the hydrogen column density along the path of the ionising photons. In thi
 s work, we present an updated version of pyC2Ray, a massively parallel ray
 -tracing and chemistry library that supersedes C2Ray which has been extens
 ively employed in reionisation simulations and often requires millions of 
 CPU-core hours across several thousand computing nodes on high-performance
  computers to simulate large-scale volumes. pyC2Ray implements the Acceler
 ated Short-characteristics Octahedral RAy-tracing (ASORA) algorithm, a nov
 el ray-tracing method designed explicitly for multi-source ray-tracing on 
 GPUs. The algorithm is written in C++/CUDA and wrapped in a Python interfa
 ce that enables easy, customised code usage without compromising computati
 onal efficiency. We demonstrate that the ASORA updates introduced in this 
 work lead to a speed-up factor of 800 compared to C2Ray on a multi-core CP
 U. It is an indication that ray-tracing algorithms for cosmological simula
 tions strongly benefit from GPU-acceleration and specialised software desi
 gn development to achieve computational efficiency and physical accuracy.\
 n\nSession Chair: Stanislaw Ostyk-Narbutt (Politecnico di Milano)\n\n
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