Langdon, WB;
Lorenz, R;
(2019)
Evolving AVX512 Parallel C Code Using GP.
In:
Genetic Programming.
(pp. pp. 245-261).
Springer: Cham, Switzerland.
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Abstract
Using 512 bit Advanced Vector Extensions, previous development history and Intel documentation, BNF grammar based genetic improvement automatically ports RNAfold to AVX, giving up to a 1.77 fold speed up. The evolved code pull request is an accepted GI software maintenance update to bioinformatics package ViennaRNA.
| Type: | Proceedings paper |
|---|---|
| Title: | Evolving AVX512 Parallel C Code Using GP |
| Event: | 22nd European Conference, EuroGP 2019, Held as Part of EvoStar 2019, Leipzig, Germany |
| ISBN-13: | 9783030166694 |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1007/978-3-030-16670-0_16 |
| Publisher version: | https://doi.org/10.1007/978-3-030-16670-0_16 |
| Language: | English |
| Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
| Keywords: | RNA secondary structure prediction, Genetic programming, GGGP, SIMD parallel computing, Software engineering, RCS, SBSE |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10074727 |
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