PYGPU: A HIGH-LEVEL LANGUAGE FOR HIGH-SPEED IMAGE PROCESSING
Author(s):
Calle Lejdfors,
Lennart Ohlsson
Paper abstract: 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 run-time 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 high-level, 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 performance close to theoretical peak figures.
Keywords:
Graphics processing units, image processing, high-level languages
Type:
Journal Paper
Full Contents (click to dowload):
First Page: 66
Last Page: 81
Year:
2007
Editors:
Pedro Isaías and Marcin Paprzycki
ISBN:
ISSN: 1646-3692
Language:
English
Conference Name:
IADIS International Journal on Computer Science and Information System
