DocumentCode :
2218845
Title :
GPU-based acceleration for Monte Carlo ray-tracing of complex 3D scene
Author :
Li, Yuguang ; Dai, Xu ; Zhao, Feng ; Shang, Hong
Author_Institution :
Sch. of Instrum. Sci. & Opto-Electron. Eng., Beijing Univ. of Aeronaut. & Astronaut., Beijing, China
fYear :
2012
fDate :
22-27 July 2012
Firstpage :
4240
Lastpage :
4243
Abstract :
This paper introduces two acceleration methods for the Monte Carlo (MC) simulation of photons on Graphic Processing Units (GPUs). The GPU-based methods for performing MC method enable the use of the model in more complex vegetation canopy. We describe the computation and how it is mapped onto the many parallel computational units on one NVIDIA GT240M graphic card. For a vegetation canopy consisting of 13020 polygons, the speedup is 16.45× over the code on an Intel T6400 dual-core processor. And this method can be accelerated tremendously by employing better GPU processor, or using more GPUs for simulation.
Keywords :
Monte Carlo methods; geophysics computing; graphics processing units; natural scenes; parallel architectures; ray tracing; vegetation mapping; GPU processor; GPU-based acceleration; Intel T6400 dual-core processor; MC simulation; Monte Carlo ray tracing; Monte Carlo simulation; NVIDIA GT240M graphic card; complex 3D scene; complex vegetation canopy; graphic processing units; parallel computational units; Acceleration; Computational modeling; Graphics processing units; Instruction sets; Photonics; Ray tracing; Solid modeling;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International
Conference_Location :
Munich
ISSN :
2153-6996
Print_ISBN :
978-1-4673-1160-1
Electronic_ISBN :
2153-6996
Type :
conf
DOI :
10.1109/IGARSS.2012.6351732
Filename :
6351732
Link To Document :
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