Parallel ray tracing on a cellular array processor

2006 ◽  
pp. 757-765
Author(s):  
Koichi Murakami ◽  
Katsuhiko Ilirota ◽  
Mitsuo Ishii
Keyword(s):  
Ray Tracing ◽  
Array Processor ◽  
Cellular Array ◽  
Parallel Ray Tracing

A Mixed-Mode Polynomial Cellular Array Processor Hardware Realization

2004 ◽  
Vol 51 (2) ◽  
pp. 286-297 ◽  
Author(s):  
M. Laiho ◽  
A. Paasio ◽  
A. Kananen ◽  
K.A.I. Halonen
Keyword(s):  
Mixed Mode ◽  
Array Processor ◽  
Cellular Array ◽  
Hardware Realization

A large scale cellular array processor

1985 ◽  
Author(s):  
Toshio Kondo ◽  
Tayoshi Nakashima ◽  
Toshio Tsuchiya ◽  
Yoshi Sugiyama ◽  
Tsuneta Sudo
Keyword(s):  
Large Scale ◽  
Array Processor ◽  
Cellular Array

scholarly journals Efficient parallel spatial subdivision algorithm for object-based parallel ray tracing

1994 ◽  
Vol 26 (12) ◽  
pp. 883-890 ◽  
Author(s):  
Cevdet Aykanat ◽  
Veysi Işler ◽  
Bülent Özgüç
Keyword(s):  
Ray Tracing ◽  
Spatial Subdivision ◽  
Object Based ◽  
Subdivision Algorithm ◽  
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.

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