Optimization of fan load via core clocking of a triple fan GPU system

Throughout the decade, the graphics processing unit (GPU) has seen numerous innovative advancements. The processing capacity of a GPU may compete with that of an existing Central Processing Unit (CPU) when it comes to running high-profile software. Any electronics that pass current through it, on th...

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Main Author:	Hanif, Haziq Haiqal
Format:	Thesis
Language:	English English
Published:	2021
Subjects:	T Technology (General)
Online Access:	http://eprints.utem.edu.my/id/eprint/26103/1/Optimization%20of%20fan%20load%20via%20core%20clocking%20of%20a%20triple%20fan%20GPU%20system.pdf http://eprints.utem.edu.my/id/eprint/26103/2/Optimization%20of%20fan%20load%20via%20core%20clocking%20of%20a%20triple%20fan%20GPU%20system.pdf
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id	my-utem-ep.26103
record_format	uketd_dc
spelling	my-utem-ep.261032023-01-13T15:33:57Z Optimization of fan load via core clocking of a triple fan GPU system 2021 Hanif, Haziq Haiqal T Technology (General) TK Electrical engineering. Electronics Nuclear engineering Throughout the decade, the graphics processing unit (GPU) has seen numerous innovative advancements. The processing capacity of a GPU may compete with that of an existing Central Processing Unit (CPU) when it comes to running high-profile software. Any electronics that pass current through it, on the other hand, will generate heat. The biggest issue with GPUs is the thermal issue. The best GPU performance requires the lowest fan speed and core temperature while maintaining the most efficiency (hashing power). The goal of this study was to use the Design-Expert software's optimization function to get the best response at a specific core clock and memory clock. The reaction was recorded when the GPU was receiving a consistent quantity of power. The GPU used is the ASUS TUF RTX3060 OC, which is a triple fan GPU. The link between GPU responses (fan speed, core temperature, hash rate) and clocking (core and memory) was discovered. Central Composite Design (CCD) came up with a single equation for each fan speed, core temperature, and hash rate as a result of this. The optimization method then proposes a number of new clock settings that outperform the existing setting. The best core and memory clock were chosen for the validation and confirmation phase. The validation results show that the expected response was accurate, with a margin of error of less than 2%. 2021 Thesis http://eprints.utem.edu.my/id/eprint/26103/ http://eprints.utem.edu.my/id/eprint/26103/1/Optimization%20of%20fan%20load%20via%20core%20clocking%20of%20a%20triple%20fan%20GPU%20system.pdf text en public http://eprints.utem.edu.my/id/eprint/26103/2/Optimization%20of%20fan%20load%20via%20core%20clocking%20of%20a%20triple%20fan%20GPU%20system.pdf text en validuser https://plh.utem.edu.my/cgi-bin/koha/opac-detail.pl?biblionumber=121073 mphil masters Universiti Teknikal Malaysia Melaka Faculty of Mechanical Engineering Zakaria, Muhammad Zulfattah
institution	Universiti Teknikal Malaysia Melaka
collection	UTeM Repository
language	English English
advisor	Zakaria, Muhammad Zulfattah
topic	T Technology (General) T Technology (General)
spellingShingle	T Technology (General) T Technology (General) Hanif, Haziq Haiqal Optimization of fan load via core clocking of a triple fan GPU system
description	Throughout the decade, the graphics processing unit (GPU) has seen numerous innovative advancements. The processing capacity of a GPU may compete with that of an existing Central Processing Unit (CPU) when it comes to running high-profile software. Any electronics that pass current through it, on the other hand, will generate heat. The biggest issue with GPUs is the thermal issue. The best GPU performance requires the lowest fan speed and core temperature while maintaining the most efficiency (hashing power). The goal of this study was to use the Design-Expert software's optimization function to get the best response at a specific core clock and memory clock. The reaction was recorded when the GPU was receiving a consistent quantity of power. The GPU used is the ASUS TUF RTX3060 OC, which is a triple fan GPU. The link between GPU responses (fan speed, core temperature, hash rate) and clocking (core and memory) was discovered. Central Composite Design (CCD) came up with a single equation for each fan speed, core temperature, and hash rate as a result of this. The optimization method then proposes a number of new clock settings that outperform the existing setting. The best core and memory clock were chosen for the validation and confirmation phase. The validation results show that the expected response was accurate, with a margin of error of less than 2%.
format	Thesis
qualification_name	Master of Philosophy (M.Phil.)
qualification_level	Master's degree
author	Hanif, Haziq Haiqal
author_facet	Hanif, Haziq Haiqal
author_sort	Hanif, Haziq Haiqal
title	Optimization of fan load via core clocking of a triple fan GPU system
title_short	Optimization of fan load via core clocking of a triple fan GPU system
title_full	Optimization of fan load via core clocking of a triple fan GPU system
title_fullStr	Optimization of fan load via core clocking of a triple fan GPU system
title_full_unstemmed	Optimization of fan load via core clocking of a triple fan GPU system
title_sort	optimization of fan load via core clocking of a triple fan gpu system
granting_institution	Universiti Teknikal Malaysia Melaka
granting_department	Faculty of Mechanical Engineering
publishDate	2021
url	http://eprints.utem.edu.my/id/eprint/26103/1/Optimization%20of%20fan%20load%20via%20core%20clocking%20of%20a%20triple%20fan%20GPU%20system.pdf http://eprints.utem.edu.my/id/eprint/26103/2/Optimization%20of%20fan%20load%20via%20core%20clocking%20of%20a%20triple%20fan%20GPU%20system.pdf
_version_	1776103139133358080

Optimization of fan load via core clocking of a triple fan GPU system

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