Scalable and massively parallel Monte Carlo photon transport simulations for heterogeneous computing platforms
Not on the map. Why?
Abstract (arXiv)
We present a highly scalable Monte Carlo (MC) three-dimensional photon transport simulation platform designed for heterogeneous computing systems. Through the development of a massively parallel MC algorithm using the Open Computing Language (OpenCL) framework, this research extends our existing graphics processing unit (GPU)-accelerated MC technique to a highly scalable vendor-independent heterogeneous computing environment, achieving significantly improved performance and software portability. A number of parallel computing techniques are investigated to achieve portable performance over a wide range of computing hardware. Furthermore, multiple thread-level and device-level load-balancing strat- egies are developed to obtain efficient simulations using multiple central processing units (CPUs) and GPUs.
Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). First posted on arXiv 9 Nov 2017.
Builds on
No reference list yet.
Built on by
Citing papers per year: 2025: 1.
1 paper.