The PARSEC machine: a non-Newtonian supra-linear super-computer
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gp-bibliography.bib Revision:1.8051
- @Article{abdulkarimova:2019:ajhpc,
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author = "Ulviya Abdulkarimova and Anna {Ouskova Leonteva} and
Christian Rolando and Anne Jeannin-Girardon and
Pierre Collet",
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title = "The {PARSEC} machine: a non-{Newtonian} supra-linear
super-computer",
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journal = "Azerbaijan Journal of High Performance Computing",
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year = "2019",
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volume = "2",
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number = "2",
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pages = "122--140",
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month = dec,
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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.",
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URL = "https://publis.icube.unistra.fr/docs/14472/easeaHPC.pdf",
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URL = "https://azjhpc.org/index.php/archives/15-paper/52-the-parsec-machine-a-non-newtonian-supra-linear-supercomputer",
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URL = "http://azjhpc.com//issue4/doi.org:10.32010:26166127.2019.2.2.122.140.pdf",
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DOI = "doi:10.32010/26166127.2019.2.2.122.140",
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size = "19 pages",
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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