loading...
 This Article 
   
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
Fifth Great Lakes Symposium on VLSI (GLSVLSI'95)
A soft computing approach to hardware software codesign
The State University of New York at Buffalo
March 16-March 18
ISBN: 0-8186-7035-5
ASCII Text
x 
 
V. Catania, N. Fiorito, M. Malgeri, M. Russo, "A soft computing approach to hardware software codesign," Great Lakes Symposium on VLSI, pp. 158, Fifth Great Lakes Symposium on VLSI (GLSVLSI'95), 1995.
 
 
BibTex
x
 
@article{ 10.1109/GLSV.1995.516044,
author = {V. Catania and N. Fiorito and M. Malgeri and M. Russo},
title = {A soft computing approach to hardware software codesign},
journal ={Great Lakes Symposium on VLSI},
volume = {0},
year = {1995},
issn = {1066-1395},
pages = {158},
doi = {http://doi.ieeecomputersociety.org/10.1109/GLSV.1995.516044},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Great Lakes Symposium on VLSI
TI - A soft computing approach to hardware software codesign
SN - 1066-1395
SP
EP
A1 - V. Catania,
A1 - N. Fiorito,
A1 - M. Malgeri,
A1 - M. Russo,
PY - 1995
KW - genetic algorithms; fuzzy logic; computer aided software engineering; logic CAD; soft computing approach; hardware/software codesign; partitioning phase; fuzzy logic; genetic algorithms
VL - 0
JA - Great Lakes Symposium on VLSI
ER -
 
V. Catania, Istituto di Inf. e Telecommun., Catania Univ., Italy
N. Fiorito, Istituto di Inf. e Telecommun., Catania Univ., Italy
M. Malgeri, Istituto di Inf. e Telecommun., Catania Univ., Italy
M. Russo, Istituto di Inf. e Telecommun., Catania Univ., Italy
This paper faces the problems connected to hardware software codesign partitioning phase. We propose a tool which novelties are the approach to perform the choice between hardware and software implementation. To achieve this, the tool proposed benefits from the simultaneous use of fuzzy logic and genetic algorithms, which allow the performance of single modules to be evaluated without having to actually implement them. Finally, we propose an algorithm to choose a good solution.
Index Terms:
genetic algorithms; fuzzy logic; computer aided software engineering; logic CAD; soft computing approach; hardware/software codesign; partitioning phase; fuzzy logic; genetic algorithms
Citation:
V. Catania, N. Fiorito, M. Malgeri, M. Russo, "A soft computing approach to hardware software codesign," glsvlsi, pp.158, Fifth Great Lakes Symposium on VLSI (GLSVLSI'95), 1995
Usage of this product signifies your acceptance of the Terms of Use.