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DTSTAMP:20250822T115809Z
LOCATION:Room 5.2A17
DTSTART;TZID=Europe/Stockholm:20250618T143000
DTEND;TZID=Europe/Stockholm:20250618T150000
UID:submissions.pasc-conference.org_PASC25_sess117_msa230@linklings.com
SUMMARY:Ray Tracing Methods for GPU-Accelerated Particle Transport Simulat
 ions
DESCRIPTION:Elliott Biondo (Oak Ridge National Laboratory)\n\nMonte Carlo 
 (MC) particle transport simulations are integral to (1) the high-energy ph
 ysics event reconstruction process, and (2) estimating radiological quanti
 ties within nuclear reactors. This method involves tracking individual par
 ticles through a computational geometry using a random walk technique. In 
 practice, this requires interweaving ray tracing operations with computati
 onally expensive physics calculations. The Oak Ridge Advanced Nested Geome
 try Engine (ORANGE) is a state-of-the-art computational geometry library s
 hared by the Celeritas MC high-energy physics code and the Shift MC nuclea
 r reactor simulation code. This presentation will focus on the ray tracing
  methods within ORANGE that facilitate efficient execution on the GPUs of 
 leadership-class supercomputers. These methods include reordering operatio
 ns to leverage single instruction, multiple threads (SIMT) parallelism, hi
 erarchical acceleration structure algorithms, and algorithms that exploit 
 the structured configurations of physical systems. Results from production
 -level simulations on the Frontier supercomputer demonstrate the effective
 ness of these methods.\n\nDomain: Engineering, Life Sciences, Physics\n\nS
 ession Chair: Elliott Biondo (Oak Ridge National Laboratory)\n\n
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