Using Genetic Programming and High Level Synthesis to Design Optimized Datapath
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- @InProceedings{araujo:2003:ICES,
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author = "Sergio G. Araujo and A. Mesquita and
Aloysio C. P. Pedroza",
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title = "Using Genetic Programming and High Level Synthesis to
Design Optimized Datapath",
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booktitle = "Evolvable Systems: From Biology to Hardware, Fifth
International Conference, ICES 2003",
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year = "2003",
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editor = "Andy M. Tyrrell and Pauline C. Haddow and
Jim Torresen",
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volume = "2606",
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series = "LNCS",
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pages = "434--445",
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address = "Trondheim, Norway",
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month = "17-20 " # mar,
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publisher = "Springer-Verlag",
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keywords = "genetic algorithms, genetic programming",
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ISBN = "3-540-00730-X",
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DOI = "doi:10.1007/3-540-36553-2_39",
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abstract = "a methodology to design optimised electronic digital
systems from high abstraction level descriptions. The
methodology uses Genetic Programming in addition to
high-level synthesis tools to automatically improve
design structural quality (area measure). A two-stage,
multiobjective optimization algorithm is used to search
for circuits with the desired functionality subjected
additionally to chip area constraints. Experiment with
a square-root approximation datapath design targeted to
FPGA exemplifies the proposed methodology.",
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notes = "ICES-2003",
- }
Genetic Programming entries for
Sergio Granato de Araujo
Antonio Carneiro de Mesquita Filho
Aloysio C P Pedroza
Citations