Multi-core data streaming architecture for ray tracing

Yoshiyuki Kaeriyama; Daichi Zaitsu; Kenichi Suzuki; Hiroaki Kobayashi; Nobuyuki Ohba

doi:10.1109/ICCD.2007.4601897

Multi-core data streaming architecture for ray tracing

Yoshiyuki Kaeriyama, Daichi Zaitsu, Kenichi Suzuki, Hiroaki Kobayashi, Nobuyuki Ohba

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

Ray tracing is a computer graphics technique to generate photo-realistic images, lthough it can generate precise and realistic images, it requires a large amount of computation. The intersection test between rays and objects is one of the dominant factors of the ray tracing speed. We propose a new parallel processing architecture, named R PL S, for accelerating the ray tracing computation. R PL S boosts the speed of the intersection test by using a new algorithm based on ray-casting through planes, data streaming architecture offers highly efficient data provision in a multi-core environment. We estimate the performance of a future SoC implementation of R PL S by software simulation, and show 600 times speedup over a conventional CPU implementation.

Original language	English
Title of host publication	2007 IEEE International Conference on Computer Design, ICCD 2007
Pages	171-178
Number of pages	8
DOIs	https://doi.org/10.1109/ICCD.2007.4601897
Publication status	Published - 2007
Event	2007 IEEE International Conference on Computer Design, ICCD 2007 - Lake Tahoe, CA, United States Duration: 2007 Oct 7 → 2007 Oct 10

Publication series

Name	2007 IEEE International Conference on Computer Design, ICCD 2007

Conference

Conference	2007 IEEE International Conference on Computer Design, ICCD 2007
Country/Territory	United States
City	Lake Tahoe, CA
Period	07/10/7 → 07/10/10

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10.1109/ICCD.2007.4601897

Cite this

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title = "Multi-core data streaming architecture for ray tracing",

abstract = "Ray tracing is a computer graphics technique to generate photo-realistic images, lthough it can generate precise and realistic images, it requires a large amount of computation. The intersection test between rays and objects is one of the dominant factors of the ray tracing speed. We propose a new parallel processing architecture, named R PL S, for accelerating the ray tracing computation. R PL S boosts the speed of the intersection test by using a new algorithm based on ray-casting through planes, data streaming architecture offers highly efficient data provision in a multi-core environment. We estimate the performance of a future SoC implementation of R PL S by software simulation, and show 600 times speedup over a conventional CPU implementation.",

author = "Yoshiyuki Kaeriyama and Daichi Zaitsu and Kenichi Suzuki and Hiroaki Kobayashi and Nobuyuki Ohba",

year = "2007",

doi = "10.1109/ICCD.2007.4601897",

language = "English",

isbn = "1424412587",

series = "2007 IEEE International Conference on Computer Design, ICCD 2007",

pages = "171--178",

booktitle = "2007 IEEE International Conference on Computer Design, ICCD 2007",

note = "2007 IEEE International Conference on Computer Design, ICCD 2007 ; Conference date: 07-10-2007 Through 10-10-2007",

}

Kaeriyama, Y, Zaitsu, D, Suzuki, K , Kobayashi, H & Ohba, N 2007, Multi-core data streaming architecture for ray tracing. in 2007 IEEE International Conference on Computer Design, ICCD 2007., 4601897, 2007 IEEE International Conference on Computer Design, ICCD 2007, pp. 171-178, 2007 IEEE International Conference on Computer Design, ICCD 2007, Lake Tahoe, CA, United States, 07/10/7. https://doi.org/10.1109/ICCD.2007.4601897

Multi-core data streaming architecture for ray tracing. / Kaeriyama, Yoshiyuki; Zaitsu, Daichi; Suzuki, Kenichi et al.
2007 IEEE International Conference on Computer Design, ICCD 2007. 2007. p. 171-178 4601897 (2007 IEEE International Conference on Computer Design, ICCD 2007).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Zaitsu, Daichi

AU - Suzuki, Kenichi

AU - Kobayashi, Hiroaki

AU - Ohba, Nobuyuki

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Y1 - 2007

N2 - Ray tracing is a computer graphics technique to generate photo-realistic images, lthough it can generate precise and realistic images, it requires a large amount of computation. The intersection test between rays and objects is one of the dominant factors of the ray tracing speed. We propose a new parallel processing architecture, named R PL S, for accelerating the ray tracing computation. R PL S boosts the speed of the intersection test by using a new algorithm based on ray-casting through planes, data streaming architecture offers highly efficient data provision in a multi-core environment. We estimate the performance of a future SoC implementation of R PL S by software simulation, and show 600 times speedup over a conventional CPU implementation.

AB - Ray tracing is a computer graphics technique to generate photo-realistic images, lthough it can generate precise and realistic images, it requires a large amount of computation. The intersection test between rays and objects is one of the dominant factors of the ray tracing speed. We propose a new parallel processing architecture, named R PL S, for accelerating the ray tracing computation. R PL S boosts the speed of the intersection test by using a new algorithm based on ray-casting through planes, data streaming architecture offers highly efficient data provision in a multi-core environment. We estimate the performance of a future SoC implementation of R PL S by software simulation, and show 600 times speedup over a conventional CPU implementation.

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BT - 2007 IEEE International Conference on Computer Design, ICCD 2007

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Y2 - 7 October 2007 through 10 October 2007

ER -

Multi-core data streaming architecture for ray tracing

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