Exploring energy aware microarchitectural design space via computationally efficient genetic programming

Created by W.Langdon from gp-bibliography.bib Revision:1.3973

@InProceedings{Halaby:2011:ICEAC,
  author =       "Abdallah El-Halaby and Mariette Awad and 
                 Rahul Khanna",
  title =        "Exploring energy aware microarchitectural design space
                 via computationally efficient genetic programming",
  booktitle =    "International Conference on Energy Aware Computing
                 (ICEAC 2011)",
  year =         "2011",
  month =        "30 " # nov # " - 2 " # dec,
  pages =        "1--5",
  address =      "Istanbul",
  size =         "5 pages",
  abstract =     "Efficiently exploring the microarchitectural design
                 space is crucial in order to find promising design
                 subspaces satisfying better power constraints. Based on
                 our previous work on Guided Search Space Genetic
                 Programming (GSS-GP), we introduce a new fitness
                 function based on Fisher Linear Discriminant, in
                 addition to the weighted fitness function designed to
                 improve unbalanced classification accuracy.
                 Experimental results show that GSS-GP outperforms
                 classical GP in both accuracy and convergence times,
                 with a minor class accuracy improvement of 9.05
                 percentage points. In addition, GSS-GP resulted in a
                 significant reduction of more than 99percent in
                 processing time compared to other robust classifiers
                 like Support Vector Machines.",
  keywords =     "genetic algorithms, genetic programming, Fisher linear
                 discriminant, GSS-GP, computationally efficient genetic
                 programming, energy aware microarchitectural design
                 space, guided search space genetic programming, power
                 constraints, support vector machines, weighted fitness
                 function, computer architecture, power aware computing,
                 support vector machines",
  DOI =          "doi:10.1109/ICEAC.2011.6136688",
  notes =        "Also known as \cite{6136688}",
}

Genetic Programming entries for Abdallah El-Halaby Mariette Awad Rahul Khanna

Citations