FPGA on-board memory studies and performance analysis / Muhamad Aiman Muhamad Aznan

This paper present Field Programmable Gates Array (FPGA) on-board memory studies and performance analysis by designing a controller of memory using Verilog code. Inside this type of FPGA board, there are three types of on-chips memory available that is SRAM, SDRAM and FLASH memory. The memories have...

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Main Author: Muhamad Aznan, Muhamad Aiman
Format: Thesis
Language:English
Published: 2018
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Online Access:https://ir.uitm.edu.my/id/eprint/102761/1/102761.pdf
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spelling my-uitm-ir.1027612024-11-04T09:22:08Z FPGA on-board memory studies and performance analysis / Muhamad Aiman Muhamad Aznan 2018 Muhamad Aznan, Muhamad Aiman Data transmission systems This paper present Field Programmable Gates Array (FPGA) on-board memory studies and performance analysis by designing a controller of memory using Verilog code. Inside this type of FPGA board, there are three types of on-chips memory available that is SRAM, SDRAM and FLASH memory. The memories have its own capability and function. The purpose of this study is to determine the performance for each types of memory in term of its area and power. This study is expected to help students in the future to fully understand on board memory. This study achieved by design controller using Verilog code on FPGA board and test the output through seven segment displays. Quartus tools as a software to compile Verilog code. Then, Timing Analyzer and Power Tools used to obtain the area and power consumption. From the analysis, SDRAM has maximum area with 89 logics then follow by SRAM with 88 logic and last is flash with 83 logics. For power consumption, SDRAM is lower follow with flash then SRAM is higher power consumption. All the memory successfully obtained its performance as expected. 2018 Thesis https://ir.uitm.edu.my/id/eprint/102761/ https://ir.uitm.edu.my/id/eprint/102761/1/102761.pdf text en public degree Universiti Teknologi MARA (UiTM) Faculty of Electrical Engineering
institution Universiti Teknologi MARA
collection UiTM Institutional Repository
language English
topic Data transmission systems
spellingShingle Data transmission systems
Muhamad Aznan, Muhamad Aiman
FPGA on-board memory studies and performance analysis / Muhamad Aiman Muhamad Aznan
description This paper present Field Programmable Gates Array (FPGA) on-board memory studies and performance analysis by designing a controller of memory using Verilog code. Inside this type of FPGA board, there are three types of on-chips memory available that is SRAM, SDRAM and FLASH memory. The memories have its own capability and function. The purpose of this study is to determine the performance for each types of memory in term of its area and power. This study is expected to help students in the future to fully understand on board memory. This study achieved by design controller using Verilog code on FPGA board and test the output through seven segment displays. Quartus tools as a software to compile Verilog code. Then, Timing Analyzer and Power Tools used to obtain the area and power consumption. From the analysis, SDRAM has maximum area with 89 logics then follow by SRAM with 88 logic and last is flash with 83 logics. For power consumption, SDRAM is lower follow with flash then SRAM is higher power consumption. All the memory successfully obtained its performance as expected.
format Thesis
qualification_level Bachelor degree
author Muhamad Aznan, Muhamad Aiman
author_facet Muhamad Aznan, Muhamad Aiman
author_sort Muhamad Aznan, Muhamad Aiman
title FPGA on-board memory studies and performance analysis / Muhamad Aiman Muhamad Aznan
title_short FPGA on-board memory studies and performance analysis / Muhamad Aiman Muhamad Aznan
title_full FPGA on-board memory studies and performance analysis / Muhamad Aiman Muhamad Aznan
title_fullStr FPGA on-board memory studies and performance analysis / Muhamad Aiman Muhamad Aznan
title_full_unstemmed FPGA on-board memory studies and performance analysis / Muhamad Aiman Muhamad Aznan
title_sort fpga on-board memory studies and performance analysis / muhamad aiman muhamad aznan
granting_institution Universiti Teknologi MARA (UiTM)
granting_department Faculty of Electrical Engineering
publishDate 2018
url https://ir.uitm.edu.my/id/eprint/102761/1/102761.pdf
_version_ 1818588050738905088