Performance comparison of NxN matrix multiplication between field programmable gate array and general purpose processor

Era of “on the move with anyone, anytime and anywhere” has become a reality as high performance portable product such as smart phone, and up to more powerful and sophisticated devices such as laptop has become essential electronic equipment for most of people in their daily life. The level of portab...

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Main Author: Chay, Chin Fatt
Format: Thesis
Language:English
Published: 2012
Subjects:
Online Access:http://eprints.utm.my/id/eprint/32405/5/ChayChinFattMFKE2012.pdf
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spelling my-utm-ep.324052017-09-22T13:59:44Z Performance comparison of NxN matrix multiplication between field programmable gate array and general purpose processor 2012-06 Chay, Chin Fatt TK Electrical engineering. Electronics Nuclear engineering Era of “on the move with anyone, anytime and anywhere” has become a reality as high performance portable product such as smart phone, and up to more powerful and sophisticated devices such as laptop has become essential electronic equipment for most of people in their daily life. The level of portability of such device directly influences and normally it is a key differentiator factor in a user’s purchase decision. Level of portability is measured in terms of the weight of devices and the interval of recharging. Thus, lowering down the power consumption of devices or circuit and better power management techniques without seriously impacting the overall system performance has become a number one priority. The most apparent reason for low power design is to prolong the battery life of portable electronic devices. And, of course it leads to a smaller battery pack which indirectly reduces the device weight. An excellent design with less power dissipation avoid adding cost for active cooling solution such as fan or even passive cooling solution such as heat sink. In this project report, a hardware oriented n x n matrix multiplication module was designed and implemented on Altera FPGA and it was compared and analyzed to general purpose processor form Intel (both Core i5 Clarkdale and Atom Pineview-D) in term of power and energy consumption. 2012-06 Thesis http://eprints.utm.my/id/eprint/32405/ http://eprints.utm.my/id/eprint/32405/5/ChayChinFattMFKE2012.pdf application/pdf en public http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:67948?site_name=Restricted Repository masters Universiti Teknologi Malaysia, Faculty of Electrical Engineering Faculty of Electrical Engineering
institution Universiti Teknologi Malaysia
collection UTM Institutional Repository
language English
topic TK Electrical engineering
Electronics Nuclear engineering
spellingShingle TK Electrical engineering
Electronics Nuclear engineering
Chay, Chin Fatt
Performance comparison of NxN matrix multiplication between field programmable gate array and general purpose processor
description Era of “on the move with anyone, anytime and anywhere” has become a reality as high performance portable product such as smart phone, and up to more powerful and sophisticated devices such as laptop has become essential electronic equipment for most of people in their daily life. The level of portability of such device directly influences and normally it is a key differentiator factor in a user’s purchase decision. Level of portability is measured in terms of the weight of devices and the interval of recharging. Thus, lowering down the power consumption of devices or circuit and better power management techniques without seriously impacting the overall system performance has become a number one priority. The most apparent reason for low power design is to prolong the battery life of portable electronic devices. And, of course it leads to a smaller battery pack which indirectly reduces the device weight. An excellent design with less power dissipation avoid adding cost for active cooling solution such as fan or even passive cooling solution such as heat sink. In this project report, a hardware oriented n x n matrix multiplication module was designed and implemented on Altera FPGA and it was compared and analyzed to general purpose processor form Intel (both Core i5 Clarkdale and Atom Pineview-D) in term of power and energy consumption.
format Thesis
qualification_level Master's degree
author Chay, Chin Fatt
author_facet Chay, Chin Fatt
author_sort Chay, Chin Fatt
title Performance comparison of NxN matrix multiplication between field programmable gate array and general purpose processor
title_short Performance comparison of NxN matrix multiplication between field programmable gate array and general purpose processor
title_full Performance comparison of NxN matrix multiplication between field programmable gate array and general purpose processor
title_fullStr Performance comparison of NxN matrix multiplication between field programmable gate array and general purpose processor
title_full_unstemmed Performance comparison of NxN matrix multiplication between field programmable gate array and general purpose processor
title_sort performance comparison of nxn matrix multiplication between field programmable gate array and general purpose processor
granting_institution Universiti Teknologi Malaysia, Faculty of Electrical Engineering
granting_department Faculty of Electrical Engineering
publishDate 2012
url http://eprints.utm.my/id/eprint/32405/5/ChayChinFattMFKE2012.pdf
_version_ 1747815994746732544