Journal
NEW ASTRONOMY
Volume 15, Issue 6, Pages 509-514Publisher
ELSEVIER
DOI: 10.1016/j.newast.2009.12.008
Keywords
Dust; Radiative transfer; Methods: numerical
Categories
Funding
- Nvidia Professor Partnership Program [C1060]
- Jet Propulsion Laboratory [30183]
- NASA [HST-AR-10958 -11758, NAS5-26555]
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When calculating the infrared spectral energy distributions (SEDs) of galaxies in radiation-transfer models, the calculation of dust grain temperatures is generally the most time-consuming part of the calculation. Because of its highly parallel nature, this calculation is perfectly suited for massively parallel general-purpose graphics-processing units (GPUs). This paper presents an implementation of the calculation of dust grain equilibrium temperatures on GPUs in the Monte-Carlo radiation transfer code SUNRISE, using the CUDA API. The GPU can perform this calculation 69 times faster than the eight CPU cores, showing great potential for accelerating calculations of galaxy SEDs. (C) 2009 Elsevier B.V. All rights reserved.
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