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Title:
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PYGPU: A HIGH-LEVEL LANGUAGE FOR HIGH-SPEED IMAGE PROCESSING |
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Author(s):
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Calle Lejdfors , Lennart Ohlsson |
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ISBN:
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ISSN: 1646-3692 |
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Editors:
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Pedro Isaías and Marcin Paprzycki |
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Year:
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2007 |
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Edition:
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V II, 1 |
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Keywords:
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Graphics processing units, image processing, high-level languages |
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Type:
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Journal Paper |
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First Page:
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66 |
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Last Page:
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81 |
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Language:
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English |
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Cover:
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Full Contents:
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click to dowload 
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Paper Abstract:
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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. |
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