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PyGPU: A high-level language for high-speed image processing

På svenska

Author

  • Calle Lejdfors
  • Lennart Ohlsson

Editor

  • Pedro Isaías
  • Marcin Paprzycki

Summary, in English

Image processing is an area with many computationally demanding algorithms. When implementing an algorithm the programmer has to make the choice of either using a high-level language, thereby gaining rapid development at the expense of run-time performance. Or, using a lower-level language having higher runtime performance, but also a higher implementation cost. In this paper we present PyGPU, an embedded language that enables image processing algorithms to be written in the highlevel, object-oriented language Python. PyGPU functions are compiled to execute on the graphics processing unit (GPU) present on modern graphics cards, a streaming processor capable of speeds more than a magnitude higher than those of current generation CPUs. We demonstrate a number of common image processing algorithms, showing how these can be implemented succinctly and clearly using high-level abstractions, while at the same time achieving high performance.

Publishing year

2007

Language

English

Pages

66-81

Publication/Series

[Host publication title missing]

Document type

Conference paper

Topic

  • Computer Science

Conference name

IADIS International Conference Applied Computing 2007

Conference date

2007-02-18

Conference place

Salamanca, Spain

Status

Published

ISBN/ISSN/Other

  • ISSN: 1646-3692