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ZENODO
Article . 2024
License: CC BY
Data sources: ZENODO
ZENODO
Article . 2024
License: CC BY
Data sources: Datacite
ZENODO
Article . 2024
License: CC BY
Data sources: Datacite
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The impact of undervolting on the parameters of selected graphics cards

Authors: Stanisław Szabłowski1*, Adrian Pękalski2;

The impact of undervolting on the parameters of selected graphics cards

Abstract

Abstract The study presents the results of research on the impact of undervolting on the operating parameters of selected graphics cards, focusing on the PNY GeForce RTX 4070 Ti and Gigabyte models. GeForce RTX 2070 Super. Analysis shows that undervolting can effectively improve the energy efficiency of graphics cards with minimal impact on their performance. It has been found that there is an optimal level of undervolting that maximizes the benefits of energy efficiency while maintaining satisfactory performance. In addition, undervolting helps to reduce the operating temperature of components, which can translate into quieter operation and potentially longer device life. These results indicate the significant potential of undervolting as a method for optimizing power consumption and managing the performance of computer hardware. Keywords: undervolting, graphics card, computer games

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average