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A Novel Optimization for GPU Mining Using Overclocking and Undervolting

Author

Listed:
  • Mohammed Shuaib

    (Department of Computer Science, College of Computer Science & IT, Jazan University, Jazan 45142, Saudi Arabia)

  • Sumit Badotra

    (Department of Computer Science and Engineering, Lovely Professional University, Phagwara 144411, Punjab, India)

  • Muhammad Irfan Khalid

    (Department of Information and Electrical Engineering and Applied Mathematics, University of Salerno, 84084 Fisciano, Italy)

  • Abeer D. Algarni

    (Department of Information Technology, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, P.O. Box 84428, Riyadh 11671, Saudi Arabia)

  • Syed Sajid Ullah

    (Department of Information and Communication Technology, University of Agder (UiA), N-4898 Grimstad, Norway)

  • Sami Bourouis

    (College of Computers and Information Technology, Taif University, P.O. Box 11099, Taif 21944, Saudi Arabia)

  • Jawaid Iqbal

    (Department of Computer Science, Capital University of Science and Technology, Islamabad 44000, Pakistan)

  • Salil Bharany

    (Department of Computer Engineering & Technology, Guru Nanak Dev University, Amritsar 143005, Punjab, India)

  • Lokesh Gundaboina

    (Department of Computer Science and Engineering, Lovely Professional University, Phagwara 144411, Punjab, India)

Abstract

Cryptography and associated technologies have existed for a long time. This field is advancing at a remarkable speed. Since the inception of its initial application, blockchain has come a long way. Bitcoin is a cryptocurrency based on blockchain, also known as distributed ledger technology (DLT). The most well-known cryptocurrency for everyday use is Bitcoin, which debuted in 2008. Its success ushered in a digital revolution, and it currently provides security, decentralization, and a reliable data transport and storage mechanism to various industries and companies. Governments and developing enterprises seeking a competitive edge have expressed interest in Bitcoin and other cryptocurrencies due to the rapid growth of this recent technology. For computer experts and individuals looking for a method to supplement their income, cryptocurrency mining has become a big source of anxiety. Mining is a way of resolving mathematical problems based on the processing capacity and speed of the computers employed to solve them in return for the digital currency incentives. Herein, we have illustrated benefits of utilizing GPUs (graphical processing units) for cryptocurrency mining and compare two methods, namely overclocking and undervolting, which are the superior techniques when it comes to GPU optimization. The techniques we have used in this paper will not only help the miners to gain profits while mining cryptocurrency but also solve a major flaw; in order to mitigate the energy and resources that are consumed by the mining hardware, we have designed the mining hardware to simultaneously run longer and consume much less electricity. We have also compared our techniques with other popular techniques that are already in existence with respect to GPU mining.

Suggested Citation

  • Mohammed Shuaib & Sumit Badotra & Muhammad Irfan Khalid & Abeer D. Algarni & Syed Sajid Ullah & Sami Bourouis & Jawaid Iqbal & Salil Bharany & Lokesh Gundaboina, 2022. "A Novel Optimization for GPU Mining Using Overclocking and Undervolting," Sustainability, MDPI, vol. 14(14), pages 1-15, July.
  • Handle: RePEc:gam:jsusta:v:14:y:2022:i:14:p:8708-:d:864106
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    References listed on IDEAS

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    1. Salil Bharany & Sandeep Sharma & Surbhi Bhatia & Mohammad Khalid Imam Rahmani & Mohammed Shuaib & Saima Anwar Lashari, 2022. "Energy Efficient Clustering Protocol for FANETS Using Moth Flame Optimization," Sustainability, MDPI, vol. 14(10), pages 1-22, May.
    2. Han, Dong & Zhang, Chengzhenghao & Ping, Jian & Yan, Zheng, 2020. "Smart contract architecture for decentralized energy trading and management based on blockchains," Energy, Elsevier, vol. 199(C).
    3. Oluwaseun Fadeyi & Ondrej Krejcar & Petra Maresova & Kamil Kuca & Peter Brida & Ali Selamat, 2019. "Opinions on Sustainability of Smart Cities in the Context of Energy Challenges Posed by Cryptocurrency Mining," Sustainability, MDPI, vol. 12(1), pages 1-20, December.
    4. Mohammed Shuaib & Noor Hafizah Hassan & Sahnius Usman & Shadab Alam & Surbhi Bhatia & Parul Agarwal & Sheikh Mohammad Idrees, 2022. "Land Registry Framework Based on Self-Sovereign Identity (SSI) for Environmental Sustainability," Sustainability, MDPI, vol. 14(9), pages 1-29, April.
    5. Salil Bharany & Sandeep Sharma & Sumit Badotra & Osamah Ibrahim Khalaf & Youseef Alotaibi & Saleh Alghamdi & Fawaz Alassery, 2021. "Energy-Efficient Clustering Scheme for Flying Ad-Hoc Networks Using an Optimized LEACH Protocol," Energies, MDPI, vol. 14(19), pages 1-20, September.
    6. Salil Bharany & Sandeep Sharma & Osamah Ibrahim Khalaf & Ghaida Muttashar Abdulsahib & Abeer S. Al Humaimeedy & Theyazn H. H. Aldhyani & Mashael Maashi & Hasan Alkahtani, 2022. "A Systematic Survey on Energy-Efficient Techniques in Sustainable Cloud Computing," Sustainability, MDPI, vol. 14(10), pages 1-89, May.
    7. Zhang, Tianyang & Pota, Himanshu & Chu, Chi-Cheng & Gadh, Rajit, 2018. "Real-time renewable energy incentive system for electric vehicles using prioritization and cryptocurrency," Applied Energy, Elsevier, vol. 226(C), pages 582-594.
    8. Li, Jingming & Li, Nianping & Peng, Jinqing & Cui, Haijiao & Wu, Zhibin, 2019. "Energy consumption of cryptocurrency mining: A study of electricity consumption in mining cryptocurrencies," Energy, Elsevier, vol. 168(C), pages 160-168.
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    Cited by:

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