Proceedings of the 2nd International Conference on Advances in Mechanical Engineering and Industrial Informatics (AMEII 2016)

Design of an Intelligent DMA System Architecture with Data Pre-processing

Authors
Pengyi Wu, Zhaolin Li
Corresponding Author
Pengyi Wu
Available Online April 2016.
DOI
10.2991/ameii-16.2016.136How to use a DOI?
Keywords
DSP, DMA, PRAM, Floating- point computation, Pre-computation
Abstract

DMA is often used to transfer data between different kinds of memory-mapped slave endpoints. It is a common peripheral component for DSP. In order to make full use of the time during the reading and writing, this paper proposed an intelligent DMA. Compared with the traditional DMA, a newly designed operational unit is added to the RAM-based architecture and the parameter RAM(PRAM) is improved to suits the whole DMA controller. It supports floating-point computation and the interface is designed based on the AMBA bus protocol AXI3. FFT algorithm has been used to evaluate the proposed design.

Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2nd International Conference on Advances in Mechanical Engineering and Industrial Informatics (AMEII 2016)
Series
Advances in Engineering Research
Publication Date
April 2016
ISBN
978-94-6252-188-9
ISSN
2352-5401
DOI
10.2991/ameii-16.2016.136How to use a DOI?
Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Pengyi Wu
AU  - Zhaolin Li
PY  - 2016/04
DA  - 2016/04
TI  - Design of an Intelligent DMA System Architecture with Data Pre-processing
BT  - Proceedings of the 2nd International Conference on Advances in Mechanical Engineering and Industrial Informatics (AMEII 2016)
PB  - Atlantis Press
SP  - 694
EP  - 697
SN  - 2352-5401
UR  - https://doi.org/10.2991/ameii-16.2016.136
DO  - 10.2991/ameii-16.2016.136
ID  - Wu2016/04
ER  -