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Authors: Jerzy Demkowicz ; Maciej Rutkowski and Przemysław Falkowski-Gilski

Affiliation: Faculty of Electronics, Telecommunications and Informatics, Gdansk University of Technology, Narutowicza 11/12, Gdansk, Poland

Keyword(s): Cryptocurrency Mining, Blockchain Technology, GPU, NVIDIA GTX, P2P, Quality Evaluation.

Abstract: Currently, there is a lot of previous generation NVIDIA GTX graphical processing units (GPUs) available on the market, which were ousted from by next-gen RTX units. Due to this fact, numerous fully-operational devices remain underused, which are available at an affordable price. First, this paper presents an analysis of the cryptocurrency market. Next, in this context, the results of research on the performance of NVIDIA graphics cards with dedicated software as a cryptocurrency mining platform. The research included three hardware platforms: GTX 480 x1, GTX 480 x2 and GTX 760 x1, tested under four cryptocurrencies, namely: Bitcoin, Litecoin, Monero and Ethereum. The custom-build test bench included power consumption as well as the efficiency of mining various digital currencies. Obtained results can aid any investigator interested in designing his own stand as well as configuring the environment.

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Paper citation in several formats:
Demkowicz, J.; Rutkowski, M. and Falkowski-Gilski, P. (2022). Quality of Cryptocurrency Mining on Previous Generation NVIDIA GTX GPUs. In Proceedings of the 18th International Conference on Web Information Systems and Technologies - QQSS; ISBN 978-989-758-613-2; ISSN 2184-3252, SciTePress, pages 466-474. DOI: 10.5220/0011567400003318

@conference{qqss22,
author={Jerzy Demkowicz. and Maciej Rutkowski. and Przemysław Falkowski{-}Gilski.},
title={Quality of Cryptocurrency Mining on Previous Generation NVIDIA GTX GPUs},
booktitle={Proceedings of the 18th International Conference on Web Information Systems and Technologies - QQSS},
year={2022},
pages={466-474},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011567400003318},
isbn={978-989-758-613-2},
issn={2184-3252},
}

TY - CONF

JO - Proceedings of the 18th International Conference on Web Information Systems and Technologies - QQSS
TI - Quality of Cryptocurrency Mining on Previous Generation NVIDIA GTX GPUs
SN - 978-989-758-613-2
IS - 2184-3252
AU - Demkowicz, J.
AU - Rutkowski, M.
AU - Falkowski-Gilski, P.
PY - 2022
SP - 466
EP - 474
DO - 10.5220/0011567400003318
PB - SciTePress