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Fifth International Conference on Information Technology: New Generations (itng 2008)
Compiled Code Compression for Embedded Systems Using Evolutionary Computing
April 07-April 09
ISBN: 978-0-7695-3099-4
ASCII Text
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M.S. Ali, Anjali Mahajan, N.V. Choudhari, "Compiled Code Compression for Embedded Systems Using Evolutionary Computing," Information Technology: New Generations, Third International Conference on, pp. 1173-1174, Fifth International Conference on Information Technology: New Generations (itng 2008), 2008.
 
 
BibTex
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@article{ 10.1109/ITNG.2008.76,
author = {M.S. Ali and Anjali Mahajan and N.V. Choudhari},
title = {Compiled Code Compression for Embedded Systems Using Evolutionary Computing},
journal ={Information Technology: New Generations, Third International Conference on},
volume = {0},
year = {2008},
isbn = {978-0-7695-3099-4},
pages = {1173-1174},
doi = {http://doi.ieeecomputersociety.org/10.1109/ITNG.2008.76},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Information Technology: New Generations, Third International Conference on
TI - Compiled Code Compression for Embedded Systems Using Evolutionary Computing
SN - 978-0-7695-3099-4
SP1173
EP1174
A1 - M.S. Ali,
A1 - Anjali Mahajan,
A1 - N.V. Choudhari,
PY - 2008
KW - Compiler
KW - optimization
KW - genetic algorithm
KW - code compression
VL - 0
JA - Information Technology: New Generations, Third International Conference on
ER -
 
Memory is one of the most restricted resources in embedded systems. Code compression provides substantial saving in terms of size. In this paper, we present a method for reducing the memory requirements of an embedded system by using code compression during the last stage of compilation process. The genetic algorithm is used to find the best sequence for optimized code. The output is then sent through the compression algorithm based on Generalized Interval Transformations coding. This paper reports the results of initial experiments on code optimization and compression problems for embedded systems.
Index Terms:
Compiler, optimization, genetic algorithm, code compression
Citation:
M.S. Ali, Anjali Mahajan, N.V. Choudhari, "Compiled Code Compression for Embedded Systems Using Evolutionary Computing," itng, pp.1173-1174, Fifth International Conference on Information Technology: New Generations (itng 2008), 2008
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