Modeling of Radiotherapy Linac Source Terms Using ARCHER Monte Carlo Code: Performance Comparison for GPU and MIC Parallel Computing Devices
1 Nuclear Engineering Program, Rensselaer Polytchnic Institute, Troy, NY, USA, 12180
2 Radiation Oncology, John Hopkins University, Baltimore, MD , USA, 21218
3 Department of Medical Physics, University of Wisconsin, Madision, WI, 53705
* Corresponding author: email@example.com
Published online: 25 September 2017
Monte Carlo (MC) simulation is well recognized as the most accurate method for radiation dose calculations. For radiotherapy applications, accurate modelling of the source term, i.e. the clinical linear accelerator is critical to the simulation. The purpose of this paper is to perform source modelling and examine the accuracy and performance of the models on Intel Many Integrated Core coprocessors (aka Xeon Phi) and Nvidia GPU using ARCHER and explore the potential optimization methods. Phase Space-based source modelling for has been implemented. Good agreements were found in a tomotherapy prostate patient case and a TrueBeam breast case. From the aspect of performance, the whole simulation for prostate plan and breast plan cost about 173s and 73s with 1% statistical error.
© The Authors, published by EDP Sciences, 2017
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