Difference between revisions of "Publications/verna.06.imecs"

From LRDE

 
Line 7: Line 7:
 
| address = Hong Kong
 
| address = Hong Kong
 
| organization = International Association of Engineers
 
| organization = International Association of Engineers
| lrdeprojects = Software
+
| lrdeprojects = Climb
 
| 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.
 
| lrdepaper = http://www.lrde.epita.fr/dload/papers/verna.06.imecs.pdf
 
| lrdepaper = http://www.lrde.epita.fr/dload/papers/verna.06.imecs.pdf

Latest revision as of 17:26, 29 January 2019

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.

Documents

Bibtex (lrde.bib)

@InProceedings{	  verna.06.imecs,
  author	= {Didier Verna},
  title		= {How to make Lisp go faster than {C}},
  booktitle	= {Proceedings of the International MultiConference of
		  Engineers and Computer Scientists},
  year		= 2006,
  address	= {Hong Kong},
  month		= jun,
  organization	= {International Association of Engineers},
  isbn		= {988-98671-3-3},
  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.}
}