Publication detail
Optimizing GPU performance for cryptocurrency mining using differential evolution
PANÁČEK, T. KMEŤ, E.
English title
Optimizing GPU performance for cryptocurrency mining using differential evolution
Type
Paper in proceedings (conference paper)
Language
en
Original abstract
Current cryptocurrency market is in its beginnings, develops rapidly and offers many opportunities. The article focuses on a special case where the application of evolutionary optimization leads to a direct and immediate significant increase in financial earnings. The following text presents the implementation of differential evolution for the optimization of operational frequencies of graphics cards, which are utilized to mine scrypt or X11 based cryptocurrencies.
Keywords in English
cryptocurrency, Bitcoin, hash rate, GPU, optimization, differential evolution
Released
2015-06-23
Location
Brno
ISSN
1803-3814
Book
21st International Conference on Soft Computing – MENDEL 2015
Pages from–to
39–42
Pages count
4
BIBTEX
@inproceedings{BUT115212,
author="Tomáš {Panáček} and Edmund {Kmeť}",
title="Optimizing GPU performance for cryptocurrency mining using differential evolution",
booktitle="21st International Conference on Soft Computing - MENDEL 2015",
year="2015",
journal="Mendel Journal series",
pages="39--42",
address="Brno",
issn="1803-3814",
url="https://www.researchgate.net/publication/362231574_Optimizing_GPU_performance_for_cryptocurrency_mining_using_differential_evolution"
}