Mansell, Chloe (2015) Optimisation of multicore processor and GPU for use in embedded systems. [USQ Project]
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Abstract
The advancement in technology continues to consume an increasing part of our lives and as we watch the slowing of Moore’s Law as Integrated Circuits approach physical limitations, we will continue to search for faster execution of programs.
The advancement in robotics and machine vision will see them become part of our daily lives and the need for real time machine vision algorithms will increase.
This dissertation will investigate optimisation options when executing machine vision algorithms on a multi-core processor and provide a guide for programmers to use when writing similar machine vision algorithms on Arm A7 or A15 processors containing a Mali T628 Graphics processing unit.
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Statistics for this ePrint Item |
| Item Type: | USQ Project |
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| Item Status: | Live Archive |
| Additional Information: | Bachelor of Computer Systems Engineering (Honours) project |
| Faculty/School / Institute/Centre: | Historic - Faculty of Health, Engineering and Sciences - School of Mechanical and Electrical Engineering (1 Jul 2013 - 31 Dec 2021) |
| Supervisors: | Rees, Stephen |
| Date Deposited: | 07 Jun 2016 04:25 |
| Last Modified: | 07 Jun 2016 04:25 |
| Uncontrolled Keywords: | Embedded Systems, Optimisation, ODROID XU3 |
| Fields of Research (2008): | 09 Engineering > 0906 Electrical and Electronic Engineering > 090602 Control Systems, Robotics and Automation |
| Fields of Research (2020): | 40 ENGINEERING > 4007 Control engineering, mechatronics and robotics > 400799 Control engineering, mechatronics and robotics not elsewhere classified |
| URI: | https://sear.unisq.edu.au/id/eprint/29285 |
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