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    DAC
    1996
    ACM
    136views Computer Architecture» more  DAC 1996»
    A Boolean Approach to Performance-Directed Technology Mapping for LUT-Based FPGA Designs
    14 years 5 days ago
    A Boolean Approach to Performance-Directed Technology Mapping for LUT-Based FPGA Designs
    Download  www.cs.york.ac.uk
    Abstract -- This paper presents a novel, Boolean approach to LUTbased FPGA technology mapping targeting high performance. As the core of the approach, we have developed a powerful ...
    Christian Legl, Bernd Wurth, Klaus Eckl
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    TIT
    2008
    123views more  TIT 2008»
    Classes of Quadratic APN Trinomials and Hexanomials and Related Structures
    13 years 8 months ago
    Classes of Quadratic APN Trinomials and Hexanomials and Related Structures
    Download  eprint.iacr.org
    A method for constructing differentially 4-uniform quadratic hexanomials has been recently introduced by J. Dillon. We give various generalizations of this method and we deduce th...
    Lilya Budaghyan, Claude Carlet
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    TCAD
    2008
    112views more  TCAD 2008»
    Exploiting Symmetries to Speed Up SAT-Based Boolean Matching for Logic Synthesis of FPGAs
    13 years 8 months ago
    Exploiting Symmetries to Speed Up SAT-Based Boolean Matching for Logic Synthesis of FPGAs
    Download  www.ece.ualberta.ca
    Boolean matching is one of the enabling techniques for technology mapping and logic resynthesis of Field Programmable Gate Array (FPGA). SAT-based Boolean matching (SAT-BM) has bee...
    Yu Hu, Victor Shih, Rupak Majumdar, Lei He
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    CSREAESA
    2004
    158views Embedded Systems» more  CSREAESA 2004»
    CMOS Implementation of Phase-Encoded Complex-Valued Artificial Neural Networks
    13 years 9 months ago
    CMOS Implementation of Phase-Encoded Complex-Valued Artificial Neural Networks
    Download  www.ece.umassd.edu
    - The model of a simple perceptron using phase-encoded inputs and complex-valued weights is presented. Multilayer two-input and three-input complex-valued neurons (CVNs) are implem...
    Howard E. Michel, David Rancour, Sushanth Iringent...
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    FOCS
    1990
    IEEE
    87views Theoretical Computer Science» more  FOCS 1990»
    Separating Distribution-Free and Mistake-Bound Learning Models over the Boolean Domain
    14 years 2 days ago
    Separating Distribution-Free and Mistake-Bound Learning Models over the Boolean Domain
    Download  www.cs.cmu.edu
    Two of the most commonly used models in computational learning theory are the distribution-free model in which examples are chosen from a fixed but arbitrary distribution, and the ...
    Avrim Blum
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