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[ascl:1403.001] GPU-D: Generating cosmological microlensing magnification maps

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.

Code site:
http://gerlumph.swin.edu.au/GPUD/
Described in:
http://adsabs.harvard.edu/abs/2010NewA...15...16T
Bibcode:
2014ascl.soft03001T

Views: 1300

ascl:1403.001
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