Difference between revisions of "Publications/geraud.01.ai"
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| abstract = This paper presents the evolution of algorithms implementation in image processing libraries and discusses the limits of these implementations in terms of reusability. In particular, we show that in C++, an algorithm can have a general implementation; said differently, an implementation can be generic, i.e.independent of both the input aggregate type and the type of the data contained in the input aggregate. A total reusability of algorithms can therefore be obtained; moreover, a generic implementation is more natural and does not introduce a meaningful additional cost in execution time as compared to an implementation dedicated to a particular input type. |
| abstract = This paper presents the evolution of algorithms implementation in image processing libraries and discusses the limits of these implementations in terms of reusability. In particular, we show that in C++, an algorithm can have a general implementation; said differently, an implementation can be generic, i.e.independent of both the input aggregate type and the type of the data contained in the input aggregate. A total reusability of algorithms can therefore be obtained; moreover, a generic implementation is more natural and does not introduce a meaningful additional cost in execution time as compared to an implementation dedicated to a particular input type. |
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+ | | lrdeslides = http://www.lrde.epita.fr/dload/papers/ai01-slides.pdf |
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| type = inproceedings |
| type = inproceedings |
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| id = geraud.01.ai |
| id = geraud.01.ai |
Revision as of 16:42, 22 October 2013
- Authors
- Thierry Géraud, Yoann Fabre, Alexandre Duret-Lutz
- Where
- Proceedings of the IASTED International Conference on Applied Informatics (AI)---Symposium on Advances in Computer Applications
- Place
- Innsbruck, Austria
- Type
- inproceedings
- Publisher
- ACTA Press
- Date
- 2001-02-01
Abstract
This paper presents the evolution of algorithms implementation in image processing libraries and discusses the limits of these implementations in terms of reusability. In particular, we show that in C++, an algorithm can have a general implementation; said differently, an implementation can be generic, i.e.independent of both the input aggregate type and the type of the data contained in the input aggregate. A total reusability of algorithms can therefore be obtained; moreover, a generic implementation is more natural and does not introduce a meaningful additional cost in execution time as compared to an implementation dedicated to a particular input type.
Documents
Bibtex (lrde.bib)
@InProceedings{ geraud.01.ai, author = {Thierry G\'eraud and Yoann Fabre and Alexandre Duret-Lutz}, title = {Applying generic programming to image processing}, booktitle = {Proceedings of the IASTED International Conference on Applied Informatics (AI)---Symposium on Advances in Computer Applications}, year = 2001, publisher = {ACTA Press}, editor = {M.H.~Hamsa}, address = {Innsbruck, Austria}, pages = {577--581}, month = feb, project = {Olena}, abstract = {This paper presents the evolution of algorithms implementation in image processing libraries and discusses the limits of these implementations in terms of reusability. In particular, we show that in C++, an algorithm can have a general implementation; said differently, an implementation can be generic, i.e., independent of both the input aggregate type and the type of the data contained in the input aggregate. A total reusability of algorithms can therefore be obtained; moreover, a generic implementation is more natural and does not introduce a meaningful additional cost in execution time as compared to an implementation dedicated to a particular input type.} }