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Research of Ethereum Mining Hash Rate Dependency on GPU Hardware Settings

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Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 339))

Abstract

Cryptocurrency mining with GPUs for profit has a fine edge of finding the best rate for mining power versus energy consumption. In this research we explore different GPU settings, namely memory clock and core voltage influence on mining performance measured as hash rate. Additionally, we look for opportunities to lower power consumption. Experiment using combined power of five commonly available graphics cards showed improvement of hash rate with increased memory clock frequencies, and lower power consumption with decreased core voltages. However, these dependencies are not linear, and some other factors, like different memory chips on otherwise similar graphics card models may give contradicting results.

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Correspondence to Paulius Danielius .

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Danielius, P., Savenas, T., Masteika, S. (2019). Research of Ethereum Mining Hash Rate Dependency on GPU Hardware Settings. In: Abramowicz, W., Paschke, A. (eds) Business Information Systems Workshops. BIS 2018. Lecture Notes in Business Information Processing, vol 339. Springer, Cham. https://doi.org/10.1007/978-3-030-04849-5_20

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  • DOI: https://doi.org/10.1007/978-3-030-04849-5_20

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-04848-8

  • Online ISBN: 978-3-030-04849-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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