GPU-D: Generating microlensing magnification maps

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gvernardos
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Joined: Tue Mar 04, 2014 5:28 am

GPU-D: Generating cosmological microlensing magnification maps

Post by gvernardos » 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: http://gerlumph.swin.edu.au/GPUD/
http://adsabs.harvard.edu/abs/2010NewA...15...16T

Bibcode: 2014ascl.soft03001T

ID: ascl:1403.001
Last edited by Ada Coda on Sun Jan 27, 2019 7:37 pm, edited 1 time in total.
Reason: Updated code entry.

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