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

Hyunjeong Lee, Miseon Han, Jeongtae Kim

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-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 languageEnglish
Title of host publicationThree-Dimensional Imaging, Visualization, and Display 2017
EditorsBahram Javidi, Osamu Matoba, Manuel Martinez-Corral, Jung-Young Son, Adrian Stern
PublisherSPIE
ISBN (Electronic)9781510609396
DOIs
StatePublished - 2017
EventThree-Dimensional Imaging, Visualization, and Display 2017 - Anaheim, United States
Duration: 10 Apr 201711 Apr 2017

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume10219
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X

Conference

ConferenceThree-Dimensional Imaging, Visualization, and Display 2017
Country/TerritoryUnited States
CityAnaheim
Period10/04/1711/04/17

Keywords

  • CUDA
  • Fast computation
  • GPGPU
  • Parallel processing

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