GPU-D: Generating cosmological microlensing magnification maps
Posted: Tue Mar 04, 2014 5:33 am
GPU-D: Generating cosmological microlensing magnification maps
Abstract: GPU-D is a GPU-accelerated implementation of the inverse ray-shooting technique used to generate cosmological microlensing magnification maps. These maps approximate the source plane magnification patterns created by an ensemble of stellar-mass compact objects within a foreground macrolens galaxy. Unlike other implementations, GPU-D solves the gravitational lens equation without any approximation. Due to the high computational intensity and high degree of parallelization inherent in the algorithm, it is ideal for brute-force implementation on GPUs. GPU-D uses CUDA for GPU acceleration and require NVIDIA devices to run.
Credit: Thompson, A. C.; Vernardos, G.; Fluke, C. J.; Barsdell, B. R.
Site: https://gerlumph.swin.edu.au/software/#gpud
https://ui.adsabs.harvard.edu/abs/2010NewA...15...16T
Bibcode: 2014ascl.soft03001T
ID: ascl:1403.001