A Novel Optimization for GPU Mining Using Overclocking and Undervolting

【Author】 Shuaib, Mohammed; Badotra, Sumit; Khalid, Muhammad Irfan; Algarni, Abeer D.; Ullah, Syed Sajid; Bourouis, Sami; Iqbal, Jawaid; Bharany, Salil; Gundaboina, Lokesh

【Source】SUSTAINABILITY

【影响因子】3.889

【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.

【Keywords】cryptocurrency; blockchain; mining; graphical processing units

【发表时间】2022 JUL

【收录时间】2022-08-15

【文献类型】理论模型

【主题类别】

区块链技术-核心技术-挖矿策略