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20232026
most citedPerformance Portable Monte Carlo Neutron Transport in MCDC via Numba

3 citations · 8 across the 10 of their papers we have counts for

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physics.comp-ph2026

Reduced Precision Diffusion Synthetic Acceleration for S Neutron Transport in LLNL's ARDRA using Hypre

Joanna Piper Morgan, Mario Ivan Ortega

Fast solution times in production discrete ordinates transport codes often require the use of diffusion synthetic acceleration (DSA). A good implementation of DSA will substantiall…

physics.comp-ph2025

Hybrid Delta Tracking Schemes Using a Track-Length Estimator

Joanna Piper Morgan, Ilham Variansyah, Kayla B. Clements +2

In Monte Carlo radiation transport calculations, Woodcock-delta tracking is a common alternative to the more popular surface tracking technique. In this work we introduce a delta-t…

physics.comp-ph2025

Comparing the Performance of MC/DC's on-GPU Event-based Processing Methods in Multigroup and Continuous-energy Problems

Braxton Cuneo, Joanna Piper Morgan, Ilham Variansyah +1

Monte Carlo / Dynamic Code (MC/DC) is a portable Monte Carlo neutron transport package for rapid numerical methods exploration in heterogeneous and HPC contexts, developed under th…

physics.comp-ph2025

One-Cell Inversion for Solving Higher-Order Time-Dependent Radiation Transport on GPUs

Joanna Piper Morgan, Ilham Variansyah, Todd S. Palmer +1

To find deterministic solutions to the transient discrete-ordinates neutron-transport equation, source iterations (SI) are typically used to lag the scattering (and fission) source…

physics.comp-ph2025

Enabling GPU Portability into the Numba-JITed Monte Carlo Particle Transport Code MC/DC

Joanna Piper Morgan, Braxton Cuneo, Ilham Variansyah +1

The Center for Exascale Monte Carlo Neutron Transport is developing Monte Carlo / Dynamic Code (MC/DC) as a portable Monte Carlo neutron transport package for rapid numerical metho…

physics.comp-ph2024★ 3 cited

Performance Portable Monte Carlo Neutron Transport in MCDC via Numba

Joanna Piper Morgan, Ilham Variansyah, Braxton Cuneo +2

Finding a software engineering approach that allows for portability, rapid development, and open collaboration for high-performance computing on GPUs and CPUs is a challenge. We im…