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  • In this paper, an evolutionary approach is used to design multiple constant multipliers (MCMs). As these circuits can be composed<br>of adders, subtractors and shifters, they perform a linear transform. An important consequence is that only a single input value is sufficient to completely evaluate a candidate circuit independently of its size and the bit width of the datapath. Proposed method is able to compete with well-optimized heuristics in particular problem instances. This paper also deals with a hardware acceleration of the method in FPGA which provides the speedup of two orders of magnitude in comparison<br>with a conventional PC.
  • In this paper, an evolutionary approach is used to design multiple constant multipliers (MCMs). As these circuits can be composed<br>of adders, subtractors and shifters, they perform a linear transform. An important consequence is that only a single input value is sufficient to completely evaluate a candidate circuit independently of its size and the bit width of the datapath. Proposed method is able to compete with well-optimized heuristics in particular problem instances. This paper also deals with a hardware acceleration of the method in FPGA which provides the speedup of two orders of magnitude in comparison<br>with a conventional PC. (en)
Title
  • On Evolutionary Synthesis of Linear Transforms
  • On Evolutionary Synthesis of Linear Transforms (en)
skos:prefLabel
  • On Evolutionary Synthesis of Linear Transforms
  • On Evolutionary Synthesis of Linear Transforms (en)
skos:notation
  • RIV/00216305:26230/08:PU76747!RIV10-MSM-26230___
http://linked.open...avai/riv/aktivita
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  • P(GA102/07/0850), Z(MSM0021630528)
http://linked.open...vai/riv/dodaniDat
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  • 384580
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  • RIV/00216305:26230/08:PU76747
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  • Evolutionary algorithm, evolutionary design, multiple constant multiplier, linear transformation, FPGA<br> (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [7B6022263CBC]
http://linked.open...v/mistoKonaniAkce
  • Praha
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  • Berlin
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  • Evolvable Systems: From Biology > to > Hardware
http://linked.open...in/vavai/riv/obor
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  • Sekanina, Lukáš
  • Vašíček, Zdeněk
  • Tobola, Jiří
  • Žádník, Martin
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http://linked.open...n/vavai/riv/zamer
number of pages
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  • Springer-Verlag
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  • 978-3-540-85856-0
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  • 26230
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