Low-Level Flexible Architecture with Hybrid Reconfiguration for Evolvable Hardware
Created by W.Langdon from
gp-bibliography.bib Revision:1.7970
- @Article{Dobai:2015:TRETS,
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author = "Roland Dobai and Lukas Sekanina",
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title = "Low-Level Flexible Architecture with Hybrid
Reconfiguration for Evolvable Hardware",
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journal = "ACM Transactions on Reconfigurable Technology and
Systems",
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year = "2015",
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volume = "8",
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number = "3",
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pages = "20:1--20:24",
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month = may,
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keywords = "genetic algorithms, genetic programming, cartesian
genetic programming, EHW, Architecture, Zynq, circuit
design, evolvable hardware, image filter,
reconfigurable",
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publisher = "ACM",
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acmid = "2700414",
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ISSN = "1936-7406",
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URL = "http://www.fit.vutbr.cz/~sekanina/pubs.php.en?id=10394",
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DOI = "doi:10.1145/2700414",
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size = "24 pages",
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abstract = "Field-programmable gate arrays (FPGAs) can be
considered to be the most popular and successful
platform for evolvable hardware. They allow one to
establish and later reconfigure candidate solutions.
Recent work in the field of evolvable hardware includes
the use of virtual and native reconfigurations. Virtual
reconfiguration is based on the change of functionality
by hardware components implemented on top of FPGA
resources. Native reconfiguration changes the FPGA
resources directly by means provided by the FPGA
manufacturer. Both of these approaches have their
disadvantages. The virtual reconfiguration is
characterized by lower maximal operational frequency of
the resulting solutions, and the native reconfiguration
is slower. In this work, a hybrid approach is used
merging the advantages while limiting the disadvantages
of the virtual and native reconfigurations. The main
contribution is the new low-level architecture for
evolvable hardware in the new Zynq-7000
all-programmable system-on-chip. The proposed
architecture offers high flexibility in comparison with
other evolvable hardware systems by considering direct
modification of the reconfigurable resources. The
impact of the higher reconfiguration time of the native
approach is limited by the dense placement of the
proposed reconfigurable processing elements. These
processing elements also ensure fast evaluation of
candidate solutions. The proposed architecture is
evaluated by evolutionary design of switching image
filters and edge detectors. The experimental results
demonstrate advantages over the previous approaches
considering the time required for evolution, area
overhead, and flexibility.",
- }
Genetic Programming entries for
Roland Dobai
Lukas Sekanina
Citations