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http://10.1.7.192:80/jspui/handle/123456789/10496
Title: | Boot time Optimization for Single Socket Workstation |
Authors: | Patel, Nayana Maheshbhai |
Keywords: | EC 2019 Project Report 2019 EC Project Report EC (ES) Embedded Systems Embedded Systems 2019 19MEC 19MECE 19MECE12 |
Issue Date: | 1-Jun-2021 |
Publisher: | Institute of Technology |
Series/Report no.: | 19MECE12; |
Abstract: | Technology is changing day by day and with that performance and efficiency of computers is increasing at unbelievable rate. Performance of the computer is defined by speed and accuracy of the processors. BIOS is the crucial part of system initialization. It is responsible for executing all the processes like detecting and initializing memory, initializing different I/O devices, communication devices, enumerating devices on different buses and all the other drivers and then handing off the control to OS. Nowadays UEFI has taken place of BIOS. Legacy BIOS is based upon Intel’s original 16-bit architecture, BIOS was designed differently for different boards which in turn increases the cost of the new product. So, it is replaced by Unified Extensible Firmware Interface – UEFI which provides utility to use unified code structure which can be common for different platforms. As we know that speed is the one of the most important factors that affect the performance of the system, we target minimum possible boot time for systems. Many efforts have made earlier for boot time optimization on different platforms and implemented successfully. To reduce the boot time required by system, this project is divided in two phases: Analysis and implementation. As part of analysis phase, the current boot time is taken and note the modules taking more time to execute. After analysis see that what is the purpose of the module and see if we can discard or reduce the module. The boot time is affected based on the type of boot flow of system and some system configurations also change boot time considerably. |
URI: | http://10.1.7.192:80/jspui/handle/123456789/10496 |
Appears in Collections: | Dissertation, EC (ES) |
Files in This Item:
File | Description | Size | Format | |
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19MECE12.pdf | 19MECE12 | 960.14 kB | Adobe PDF | ![]() View/Open |
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