Microarchitectural Optimization by Means of Reconfigurable and Evolvable Cache Mappings

Created by W.Langdon from gp-bibliography.bib Revision:1.3949

@InProceedings{ho-ah-ka-15a,
  author =       "Nam Ho and Abdullah Fathi Ahmed and Paul Kaufmann and 
                 Marco Platzner",
  title =        "Microarchitectural Optimization by Means of
                 Reconfigurable and Evolvable Cache Mappings",
  booktitle =    "2015 NASA/ESA Conference on Adaptive Hardware and
                 Systems (AHS)",
  year =         "2015",
  month =        "15-18 " # jun,
  publisher =    "IEEE",
  keywords =     "genetic algorithms, genetic programming, genetic
                 improvement, Cartesian Genetic Programming, EHW",
  DOI =          "doi:10.1109/AHS.2015.7231178",
  size =         "7 pages",
  abstract =     "Physical limits are pushing chip manufacturer towards
                 multi- and many-core architectures to maintain the
                 progress of computing power. This trend has also
                 emphasized reconfigurable computing, which enables for
                 even higher parallelization degrees. Reconfigurable
                 computing is often used together with a conventional
                 processor to accelerate highly specific applications.
                 However, exploiting dynamically reconfigurable systems
                 for microarchitectural optimization is a novel research
                 area. This paper presents for the first time an
                 FPGA-based implementation of a processor that can
                 reconfigure and adapt its own memory-to-cache address
                 mapping function at runtime by means of dynamic
                 reconfiguration and nature-inspired optimization. In
                 experiments we can achieve up to 7.8percent better
                 execution times compared to a processor with a
                 conventional cache mapping function.",
  notes =        "LEON3, Virtex 6 FPGA, EvoCache. SHA, QSORT, DUKSTRA
                 and FFT MiBench workloads.

                 Also known as \cite{7231178}

                 ",
}

Genetic Programming entries for Nam Ho Abdullah Fathi Ahmed Paul Kaufmann Marco Platzner

Citations