The PARSEC machine: a non-Newtonian supra-linear super-computer

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@Article{abdulkarimova:2019:ajhpc,

• author = "Ulviya Abdulkarimova and Anna {Ouskova Leonteva} and Christian Rolando and Anne Jeannin-Girardon and Pierre Collet",
• title = "The {PARSEC} machine: a non-{Newtonian} supra-linear super-computer",
• journal = "Azerbaijan Journal of High Performance Computing",
• year = "2019",
• volume = "2",
• number = "2",
• pages = "122--140",
• month = dec,
• keywords = "genetic algorithms, genetic programming, beowulf cluster, relative space-time, supra-linear acceleration, qualitative acceleration, GPGPU, loosely coupled machines, artificial evolution, transfer learning, harmonic analysis, super-resolution,non-uniform sampling, fourier transform.",
• URL = "https://publis.icube.unistra.fr/docs/14472/easeaHPC.pdf",
• URL = "https://azjhpc.org/index.php/archives/15-paper/52-the-parsec-machine-a-non-newtonian-supra-linear-supercomputer",
• URL = "http://azjhpc.com//issue4/doi.org:10.32010:26166127.2019.2.2.122.140.pdf",
• DOI = "doi:10.32010/26166127.2019.2.2.122.140",
• size = "19 pages",
• abstract = "transfer-learning can turn a Beowulf cluster into a full super-computer with supra-linear qualitative acceleration. Harmonic Analysis is used as a real-world example to show the kind of result that can be achieved with the proposed super-computer architecture, that locally exploits absolute space-time parallelism on each machine (SIMD parallelism) and loosely-coupled relative space-time parallelisation between different machines (loosely coupled MIMD)",

}

Genetic Programming entries for Ulviya Abdulkarimova Anna Ouskova Leonteva Christian Rolando Anne Jeannin-Girardon Pierre Collet

Citations