A new parallel ray-tracing system based on object decomposition

1996 ◽  
Vol 12 (5) ◽  
pp. 244-253 ◽  
Author(s):  
Hyun-Joon Kim ◽  
Chong-Min Kyung
Keyword(s):  
Ray Tracing ◽  
Parallel Ray Tracing

Parallel ray tracing for radiative heat transfer

2001 ◽  
Vol 11 (7) ◽  
pp. 663-681 ◽  
Author(s):  
J.G. Marakis ◽  
J. Chamiço ◽  
G. Brenner ◽  
F. Durst
Keyword(s):  
Heat Transfer ◽  
Ray Tracing ◽  
Radiative Heat Transfer ◽  
Radiative Heat ◽  
Parallel Ray Tracing

A new parallel ray-tracing system based on object decomposition

1996 ◽  
Vol 12 (5) ◽  
pp. 244-253
Author(s):  
Hyun-Joon Kim ◽  
Chong-Min Kyung
Keyword(s):  
Ray Tracing ◽  
Parallel Ray Tracing

scholarly journals Acceleration of ray tracing method using predictive evaluation and GPGPU technology

2014 ◽  
Vol 4 (3) ◽  
Author(s):  
Branislav Sobota ◽  
Štefan Korečko ◽  
Csaba Szabó ◽  
František Hrozek
Keyword(s):  
Ray Tracing ◽  
Graphics Processing Units ◽  
Computation Time ◽  
General Purpose ◽  
Ray Tracing Method ◽  
Parallel Solution ◽  
Graphics Processing ◽  
Tracing Method ◽  
Selection Of ◽  
Parallel Ray Tracing

AbstractRay tracing is one of computer graphics methods for achieving the most realistic outputs. Its main disadvantage is high computation demands. Removal of this disadvantage is possible using parallelization due to the fact that the ray tracing method is inherently parallel. Solution presented in this article uses GPGPU (general-purpose computing on graphics processing units) technology and a predictive evaluation for the acceleration of ray tracing method. The CUDA C was selected as a GPGPU language and it was used for a conversion of a raytracer core. The main reason for choosing this language was usage of the Tesla C1060 graphics card. The predictive evaluation of a scene was based on the fact that total computation time increases proportionally with resolution. This evaluation allows selection of the optimal scene division for the parallel ray tracing. In tests, proposed GPGPU solution reached accelerations up to 28.3× comparing to CPU.

Rendering large scenes using parallel ray tracing

1997 ◽  
Vol 23 (7) ◽  
pp. 873-885 ◽  
Author(s):  
Erik Reinhard ◽  
Frederik W. Jansen
Keyword(s):  
Ray Tracing ◽  
Parallel Ray Tracing
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