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:
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
http://eprints.utem.edu.my/id/eprint/26103/
https://plh.utem.edu.my/cgi-bin/koha/opac-detail.pl?biblionumber=121073
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spelling my.utem.eprints.261032023-01-13T15:33:57Z http://eprints.utem.edu.my/id/eprint/26103/ Optimization of fan load via core clocking of a triple fan GPU system 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 NonPeerReviewed text en 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 http://eprints.utem.edu.my/id/eprint/26103/2/Optimization%20of%20fan%20load%20via%20core%20clocking%20of%20a%20triple%20fan%20GPU%20system.pdf Hanif, Haziq Haiqal (2021) Optimization of fan load via core clocking of a triple fan GPU system. Masters thesis, Universiti Teknikal Malaysia Melaka. https://plh.utem.edu.my/cgi-bin/koha/opac-detail.pl?biblionumber=121073
institution Universiti Teknikal Malaysia Melaka
building UTEM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknikal Malaysia Melaka
content_source UTEM Institutional Repository
url_provider http://eprints.utem.edu.my/
language English
English
topic T Technology (General)
TK Electrical engineering. Electronics Nuclear engineering
spellingShingle T Technology (General)
TK Electrical engineering. Electronics Nuclear engineering
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
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
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
http://eprints.utem.edu.my/id/eprint/26103/
https://plh.utem.edu.my/cgi-bin/koha/opac-detail.pl?biblionumber=121073
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score 13.214268