GPU-Based Image Processing Use Cases: A High-Level Approach

Authors
  • V. Wieser
  • C. Grelck
  • H. Schöner
  • P. Haslinger
  • K. Bosa
  • B. Moser
Publication date 2012
Host editors
  • K. De Bosschere
  • E.H. D'Hollander
  • G.R. Joubert
  • D. Padua
  • F. Peters
  • M. Sawyer
Book title Applications, Tools and Techniques on the Road to Exascale Computing
ISBN
  • 9781614990406
ISBN (electronic)
  • 9781614990413
Series Advances in Parallel Computing
Event Biennial ParCo Conference ; 11
Pages (from-to) 199-206
Publisher Amsterdam: IOS Press
Organisations
  • Faculty of Science (FNWI) - Informatics Institute (IVI)
Abstract This paper addresses the gap between envisioned hardware-virtualized techniques for GPU programming and a conventional approach from the point of view of an application engineer taking software engineering aspects like maintainability, understandability and productivity, and resulting achieved gain in performance and scalability into account. This gap is discussed on the basis of use cases from the field of image processing, and illustrated by means of performance benchmarks as well as evaluations regarding software engineering productivity.
Document type Conference contribution
Language English
Published at https://doi.org/10.3233/978-1-61499-041-3-199
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