Publication detail

Optimizing GPU performance for cryptocurrency mining using differential evolution

PANÁČEK, T. KMEŤ, E.

Original Title

Optimizing GPU performance for cryptocurrency mining using differential evolution

Type

conference paper

Language

English

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

cryptocurrency, Bitcoin, hash rate, GPU, optimization, differential evolution

Authors

PANÁČEK, T.; KMEŤ, E.

RIV year

2015

Released

23. 6. 2015

Location

Brno

ISBN

1803-3814

Periodical

Mendel Journal series

State

Czech Republic

Pages from

39

Pages to

42

Pages count

4

URL

https://www.researchgate.net/publication/362231574_Optimizing_GPU_performance_for_cryptocurrency_mining_using_differential_evolution

Full text in the Digital Library

http://hdl.handle.net/11012/208197

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"
}