A Trillion Genetic Programming Instructions per Second
Created by W.Langdon from
gp-bibliography.bib Revision:1.8010
- @Misc{langdon:2022:trillion,
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author = "W. B. Langdon",
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title = "A Trillion Genetic Programming Instructions per
Second",
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howpublished = "ArXiv",
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year = "2022",
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month = "6 " # may,
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keywords = "genetic algorithms, genetic programming, bottom up
incremental evaluation, Failed Disruption Propagation,
FDP, infection, and execution, SBSE, Posix parallel
threads, SIMD AVX vector instructions, GPquick",
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archiveprefix = "arXiv",
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primaryclass = "cs.NE",
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URL = "https://arxiv.org/abs/2205.03251",
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code_url = "http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/gp-code/GPinc.tar.gz",
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size = "9 pages",
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abstract = "We summarise how a 3.0 GHz 16 core AVX512 computer can
interpret the equivalent of up to on average
1103370000000 GPop/s. Citations to existing
publications are given. Implementation stress is placed
on both parallel computing, bandwidth limits and
avoiding repeated calculation. Information theory
suggests in digital computing, failed disruption
propagation gives huge speed ups as FDP and incremental
evaluation can be used to reduce fitness evaluation
time in phenotypically converged populations.
Conversely FDP may be responsible for evolution
stagnation. So the wider Evolutionary Computing,
Artificial Life, Unconventional Computing and Software
Engineering community may need to avoid deep nesting.",
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notes = "Slides
http://www.cs.ucl.ac.uk/staff/W.Langdon/gecco2022/langdon_2022_EvoSoft_slides.pdf
presented at
https://dev.heuristiclab.com/trac.fcgi/wiki/EvoSoft
CC BY-NC-ND: Creative Commons
Attribution-NonCommercial-NoDerivatives
arXiv:submit/4295141 [cs.NE] 6 May 2022",
- }
Genetic Programming entries for
William B Langdon
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