Difference between revisions of "Publications/verna.06.ijcs"
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{{Publication |
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| date = 2006-12-01 |
| date = 2006-12-01 |
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| authors = Didier Verna |
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| volume = 32 |
| volume = 32 |
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| number = 4 |
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| abstract = Contrary to popular belief, Lisp code can be very efficient today: it can run as fast as equivalent C code or even faster in some cases. In this paper, we explain how to tune Lisp code for performance by introducing the proper type declarations, using the appropriate data structures and compiler information. We also explain how efficiency is achieved by the compilers. These techniques are applied to simple image processing algorithms in order to demonstrate the announced performance on pixel access and arithmetic operations in both languages. |
| abstract = Contrary to popular belief, Lisp code can be very efficient today: it can run as fast as equivalent C code or even faster in some cases. In this paper, we explain how to tune Lisp code for performance by introducing the proper type declarations, using the appropriate data structures and compiler information. We also explain how efficiency is achieved by the compilers. These techniques are applied to simple image processing algorithms in order to demonstrate the announced performance on pixel access and arithmetic operations in both languages. |
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| type = article |
| type = article |
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month = dec, |
month = dec, |
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issn = <nowiki>{</nowiki>1819-656X<nowiki>}</nowiki>, |
issn = <nowiki>{</nowiki>1819-656X<nowiki>}</nowiki>, |
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| − | project = <nowiki>{</nowiki>Software<nowiki>}</nowiki>, |
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abstract = <nowiki>{</nowiki>Contrary to popular belief, Lisp code can be very |
abstract = <nowiki>{</nowiki>Contrary to popular belief, Lisp code can be very |
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efficient today: it can run as fast as equivalent C code or |
efficient today: it can run as fast as equivalent C code or |
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Latest revision as of 17:26, 29 January 2019
- Authors
- Didier Verna
- Journal
- IAENG International Journal of Computer Science
- Type
- article
- Projects
- Climb
- Date
- 2006-12-01
Abstract
Contrary to popular belief, Lisp code can be very efficient today: it can run as fast as equivalent C code or even faster in some cases. In this paper, we explain how to tune Lisp code for performance by introducing the proper type declarations, using the appropriate data structures and compiler information. We also explain how efficiency is achieved by the compilers. These techniques are applied to simple image processing algorithms in order to demonstrate the announced performance on pixel access and arithmetic operations in both languages.
Bibtex (lrde.bib)
@Article{ verna.06.ijcs,
author = {Didier Verna},
title = {How to make Lisp go faster than {C}},
journal = {IAENG International Journal of Computer Science},
year = 2006,
volume = 32,
number = 4,
month = dec,
issn = {1819-656X},
abstract = {Contrary to popular belief, Lisp code can be very
efficient today: it can run as fast as equivalent C code or
even faster in some cases. In this paper, we explain how to
tune Lisp code for performance by introducing the proper
type declarations, using the appropriate data structures
and compiler information. We also explain how efficiency is
achieved by the compilers. These techniques are applied to
simple image processing algorithms in order to demonstrate
the announced performance on pixel access and arithmetic
operations in both languages.}
}