The graphics processing unit (GPU) has emerged as a competitive platform for computing
massively parallel problems. Many computing applications in medical physics can be …

Recent developments in radiotherapy therapy demand high computation powers to solve
challenging problems in a timely fashion in a clinical environment. The graphics processing …

Purpose: Monte Carlo methods are considered as the gold standard for dosimetric
computations in radiotherapy. Their execution time is, however, still an obstacle to the …

We present a GPU implementation called GMC (GPU Monte Carlo) of the low energy (< 100
GeV) electromagnetic part of the Geant4 Monte Carlo code using the NVIDIA® CUDA …

We implemented the simplified Monte Carlo (SMC) method on graphics processing unit
(GPU) architecture under the computer-unified device architecture platform developed by …

Purpose: The graphic processing unit (GPU) based TomoTherapy convolution/superposition
(C/S) dose engine (GPU dose engine) achieves a dramatic performance improvement over …

Purpose: Collapsed‐cone convolution/superposition (CCCS) dose calculation is the
workhorse for IMRT dose calculation. The authors present a novel algorithm for computing …

Purpose: A widely accepted method to quantify differences in dose distributions is the
gamma (γ) evaluation. Currently, almost all γ implementations utilize the central processing …

Targeting at the development of an accurate and efficient dose calculation engine for online
adaptive radiotherapy, we have implemented a finite-size pencil beam (FSPB) algorithm …

Purpose: To establish the accuracy and speed of bGPUMCD, a GPU‐oriented Monte Carlo
code used for high dose rate brachytherapy dose calculations. The first objective is to …