GPUMCD: a new GPU-oriented Monte Carlo dose calculation platform

TL;DR

GPUMCD is a GPU-optimized Monte Carlo dose calculation platform that achieves over 900 times faster execution than traditional methods while maintaining high dosimetric accuracy, making it suitable for clinical radiotherapy applications.

Contribution

This paper introduces GPUMCD, a novel GPU-oriented Monte Carlo dose calculation platform designed specifically for voxelized geometries, with significant improvements in speed and comparable accuracy.

Findings

GPUMCD is over 900 times faster than EGSnrc.

GPUMCD achieves gamma pass rates of 98% or higher in most test cases.

Simulation times are less than 0.3 seconds for 1 million electrons and 4 million photons.

Abstract

Purpose: Monte Carlo methods are considered the gold standard for dosimetric computations in radiotherapy. Their execution time is however still an obstacle to the routine use of Monte Carlo packages in a clinical setting. To address this problem, a completely new, and designed from the ground up for the GPU, Monte Carlo dose calculation package for voxelized geometries is proposed: GPUMCD. Method : GPUMCD implements a coupled photon-electron Monte Carlo simulation for energies in the range 0.01 MeV to 20 MeV. An analogue simulation of photon interactions is used and a Class II condensed history method has been implemented for the simulation of electrons. A new GPU random number generator, some divergence reduction methods as well as other optimization strategies are also described. GPUMCD was run on a NVIDIA GTX480 while single threaded implementations of EGSnrc and DPM were run on an Intel Core i7 860. Results : Dosimetric results obtained with GPUMCD were compared to EGSnrc. In all but one test case, 98% or more of all significant voxels passed a gamma criteria of 2%-2mm. In terms of execution speed and efficiency, GPUMCD is more than 900 times faster than EGSnrc and more than 200 times faster than DPM, a Monte Carlo package aiming fast executions. Absolute execution times of less than 0.3 s are found for the simulation of 1M electrons and 4M photons in water for monoenergetic beams of 15 MeV, including GPU-CPU memory transfers. Conclusion : GPUMCD, a new GPU-oriented Monte Carlo dose calculation platform, has been compared to EGSnrc and DPM in terms of dosimetric results and execution speed. Its accuracy and speed make it an interesting solution for full Monte Carlo dose calculation in radiation oncology.