Issue |
ITM Web Conf.
Volume 50, 2022
Fourth International Conference on Advances in Electrical and Computer Technologies 2022 (ICAECT 2022)
|
|
---|---|---|
Article Number | 02004 | |
Number of page(s) | 11 | |
Section | Electronics & Communication Systems | |
DOI | https://doi.org/10.1051/itmconf/20225002004 | |
Published online | 15 December 2022 |
An IP Core of AMBA Bus Interface in HDL
Department of Electronics and Instrumentation Engineering, Shri G.S. Institute of Technology and Science, Indore, India
* Corresponding author: sakshinagesh1999@gmail.com
The AMBA on-chip bus architecture is a well-known open specification that explains how to connect and manage the functional units that make up a System-On-Chip (SoC). The design and implementation of an AHB Master, RAM, ROM, FIFO and Memory Controller implementation is proposed in this paper. It is primarily divided into two categories: operation initiator (AHB MASTER) and AHB SLAVE. Furthermore, AHB master generate the operation in burst mode, single transfer according to interface requirement and Address generator, generates the address in increment or wrap mode, as well as completing data transfers with an asymmetric asynchronous FIFO with variable data widths for read and write. A bridge between an AHB Master and an AHB slave will be demonstrated using a memory controller, and their outcome in terms of area and speed will be address ed. A finite state machine will be used to design the control framework. Xilinx Virtex 2 XC2VP40 will be used to implement the AHB Master and Slave IP.
© The Authors, published by EDP Sciences, 2022
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.