6 citations · 7 across the 3 of their papers we have counts for
4 papers
Randomized Quasi-Monte Carlo Sampling in The Random Ray Method for Neutron Transport Simulations
Samuel Pasmann, John Tramm
In a random ray method of neutral particle transport simulation, each iteration begins by sampling a set of rays before proceeding to solve the characteristic transport equation al…
Performance Portable Monte Carlo Particle Transport on Intel, NVIDIA, and AMD GPUs
John Tramm, Paul Romano, Patrick Shriwise +5
OpenMC is an open source Monte Carlo neutral particle transport application that has recently been ported to GPU using the OpenMP target offloading model. We examine the performanc…
Efficient Algorithms for Monte Carlo Particle Transport on AI Accelerator Hardware
John Tramm, Bryce Allen, Kazutomo Yoshii +2
The recent trend toward deep learning has led to the development of a variety of highly innovative AI accelerator architectures. One such architecture, the Cerebras Wafer-Scale Eng…
Improving the scalabiliy of neutron cross-section lookup codes on multicore NUMA system
Kazutomo Yoshii, John Tramm, Andrew Siegel +1
We use the XSBench proxy application, a memory-intensive OpenMP program, to explore the source of on-node scalability degradation of a popular Monte Carlo (MC) reactor physics benc…