A study on the GPU based parallel computation of a projection image

Hyunjeong Lee; Miseon Han; Jeongtae Kim

doi:10.1117/12.2267280

A study on the GPU based parallel computation of a projection image

Hyunjeong Lee
, Miseon Han
, Jeongtae Kim

Electronic and Electrical Engineering

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

1 Scopus citations

Abstract

Fast computation of projection images is crucial in many applications such as medical image reconstruction and light field image processing. To do that, parallelization of the computation and efficient implementation of the computation using a parallel processor such as GPGPU (General-Purpose computing on Graphics Processing Units) is essential. In this research, we investigate methods for parallel computation of projection images and efficient implementation of the methods using CUDA (Compute Unified Device Architecture). We also study how to efficiently use the memory of GPU for the parallel processing.

Original language	English
Title of host publication	Three-Dimensional Imaging, Visualization, and Display 2017
Editors	Bahram Javidi, Osamu Matoba, Manuel Martinez-Corral, Jung-Young Son, Adrian Stern
Publisher	SPIE
ISBN (Electronic)	9781510609396
DOIs	https://doi.org/10.1117/12.2267280
State	Published - 2017
Event	Three-Dimensional Imaging, Visualization, and Display 2017 - Anaheim, United States Duration: 10 Apr 2017 → 11 Apr 2017

Publication series

Name	Proceedings of SPIE - The International Society for Optical Engineering
Volume	10219
ISSN (Print)	0277-786X
ISSN (Electronic)	1996-756X

Conference

Conference	Three-Dimensional Imaging, Visualization, and Display 2017
Country/Territory	United States
City	Anaheim
Period	10/04/17 → 11/04/17

Bibliographical note

Publisher Copyright:
© 2017 SPIE.

Keywords

CUDA
Fast computation
GPGPU
Parallel processing

Access to Document

10.1117/12.2267280

Cite this

Lee, H., Han, M., & Kim, J. (2017). A study on the GPU based parallel computation of a projection image. In B. Javidi, O. Matoba, M. Martinez-Corral, J.-Y. Son, & A. Stern (Eds.), Three-Dimensional Imaging, Visualization, and Display 2017 Article 1021916 (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 10219). SPIE. https://doi.org/10.1117/12.2267280

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title = "A study on the GPU based parallel computation of a projection image",

abstract = "Fast computation of projection images is crucial in many applications such as medical image reconstruction and light field image processing. To do that, parallelization of the computation and efficient implementation of the computation using a parallel processor such as GPGPU (General-Purpose computing on Graphics Processing Units) is essential. In this research, we investigate methods for parallel computation of projection images and efficient implementation of the methods using CUDA (Compute Unified Device Architecture). We also study how to efficiently use the memory of GPU for the parallel processing.",

keywords = "CUDA, Fast computation, GPGPU, Parallel processing",

author = "Hyunjeong Lee and Miseon Han and Jeongtae Kim",

note = "Publisher Copyright: {\textcopyright} 2017 SPIE.; Three-Dimensional Imaging, Visualization, and Display 2017 ; Conference date: 10-04-2017 Through 11-04-2017",

year = "2017",

doi = "10.1117/12.2267280",

language = "English",

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Lee, H, Han, M & Kim, J 2017, A study on the GPU based parallel computation of a projection image. in B Javidi, O Matoba, M Martinez-Corral, J-Y Son & A Stern (eds), Three-Dimensional Imaging, Visualization, and Display 2017., 1021916, Proceedings of SPIE - The International Society for Optical Engineering, vol. 10219, SPIE, Three-Dimensional Imaging, Visualization, and Display 2017, Anaheim, United States, 10/04/17. https://doi.org/10.1117/12.2267280

A study on the GPU based parallel computation of a projection image. / Lee, Hyunjeong; Han, Miseon; Kim, Jeongtae.
Three-Dimensional Imaging, Visualization, and Display 2017. ed. / Bahram Javidi; Osamu Matoba; Manuel Martinez-Corral; Jung-Young Son; Adrian Stern. SPIE, 2017. 1021916 (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 10219).

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

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AB - Fast computation of projection images is crucial in many applications such as medical image reconstruction and light field image processing. To do that, parallelization of the computation and efficient implementation of the computation using a parallel processor such as GPGPU (General-Purpose computing on Graphics Processing Units) is essential. In this research, we investigate methods for parallel computation of projection images and efficient implementation of the methods using CUDA (Compute Unified Device Architecture). We also study how to efficiently use the memory of GPU for the parallel processing.

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A2 - Matoba, Osamu

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A study on the GPU based parallel computation of a projection image

Abstract

Publication series

Conference

Bibliographical note

Keywords

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