Embedded operating system optimization for face recognition system
Compiler optimizations have been proven to be beneficial in improving performance and efficiency of binary codes across different type of operating systems. Improvement from optimization of program code during compilation are obvious to the system performance, memory performance, disk access, ene...
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my-unimap-129042011-07-01T02:27:59Z Embedded operating system optimization for face recognition system Shuhaizar, Daud Compiler optimizations have been proven to be beneficial in improving performance and efficiency of binary codes across different type of operating systems. Improvement from optimization of program code during compilation are obvious to the system performance, memory performance, disk access, energy efficiency and nearly all aspect of the system. This is particularly attractive to an embedded system where performance and efficiency are seriously considered. This research focuses on implementing those proven compiler optimizations to the development of an embedded operating system and studying the effect of such implementation to the performance and efficiency of the system. This thesis outlines the methods available to develop a custom operating based on the Linux kernel and ways to implement such optimization during the compilation and development process. Focusing on face recognition systems implemented on embedded Single Board Computers, optimization effects to an embedded operating system are studied through software and hardware perspective. From the software perspective; booting performance, code execution performance and binary efficiency of different prototypes developed with varying level of compiler optimization are tested and examined. From hardware side; system memory footprint, current draw, power consumption and energy usage of the different prototypes are tested and measured. Results obtained in this thesis shows that compiler optimization are beneficial not only when applied to the program code, but also have significant effects when applied to the operating system. Universiti Malaysia Perlis 2010 Thesis en http://dspace.unimap.edu.my/123456789/12904 http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/12904/1/p.1-24.pdf c2c223917c8252d818416f9a6c7331b3 http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/12904/2/Full%20Text.pdf 333531fa349cb217bb2d4edab35d9e8e http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/12904/3/license.txt 84853fc69d2ea3401da926eca58d27b5 Embedded operating system Face recognition systems Linux kernel Special-purpose computer system Compiler system Operating system School of Computer & Communication Engineering |
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Universiti Malaysia Perlis |
| collection |
UniMAP Institutional Repository |
| language |
English |
| topic |
Embedded operating system Face recognition systems Linux kernel Special-purpose computer system Compiler system Operating system |
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Embedded operating system Face recognition systems Linux kernel Special-purpose computer system Compiler system Operating system Shuhaizar, Daud Embedded operating system optimization for face recognition system |
| description |
Compiler optimizations have been proven to be beneficial in improving
performance and efficiency of binary codes across different type of operating
systems. Improvement from optimization of program code during compilation are
obvious to the system performance, memory performance, disk access, energy
efficiency and nearly all aspect of the system. This is particularly attractive to an
embedded system where performance and efficiency are seriously considered. This
research focuses on implementing those proven compiler optimizations to the
development of an embedded operating system and studying the effect of such
implementation to the performance and efficiency of the system. This thesis outlines
the methods available to develop a custom operating based on the Linux kernel and
ways to implement such optimization during the compilation and development
process. Focusing on face recognition systems implemented on embedded Single
Board Computers, optimization effects to an embedded operating system are studied
through software and hardware perspective. From the software perspective; booting
performance, code execution performance and binary efficiency of different
prototypes developed with varying level of compiler optimization are tested and
examined. From hardware side; system memory footprint, current draw, power
consumption and energy usage of the different prototypes are tested and measured.
Results obtained in this thesis shows that compiler optimization are beneficial not
only when applied to the program code, but also have significant effects when
applied to the operating system. |
| format |
Thesis |
| author |
Shuhaizar, Daud |
| author_facet |
Shuhaizar, Daud |
| author_sort |
Shuhaizar, Daud |
| title |
Embedded operating system optimization for face recognition system |
| title_short |
Embedded operating system optimization for face recognition system |
| title_full |
Embedded operating system optimization for face recognition system |
| title_fullStr |
Embedded operating system optimization for face recognition system |
| title_full_unstemmed |
Embedded operating system optimization for face recognition system |
| title_sort |
embedded operating system optimization for face recognition system |
| granting_institution |
Universiti Malaysia Perlis |
| granting_department |
School of Computer & Communication Engineering |
| url |
http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/12904/1/p.1-24.pdf http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/12904/2/Full%20Text.pdf |
| _version_ |
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