The University of Southampton
University of Southampton Institutional Repository

Multiple-Width Bus Partitioning Approach to Datapath Synthesis

Multiple-Width Bus Partitioning Approach to Datapath Synthesis
Multiple-Width Bus Partitioning Approach to Datapath Synthesis
A shared bus is a suitable structure for minimizing the interconnections costs in system synthesis. It has also been shown that the word-length of Functional Units has a great impact on design costs. A combination of both methods is used in this paper in the form of a partitioned shared bus structure, in which every partition has a different width and all the functional units connected to a bus partition have the same input/output word-lengths. Having controlled the group binding and word-length of the FUs as well as the other synthesis parameters, a high-level synthesis tool is introduced to implement DSP algorithms in digital hardware. The tool uses a Multi-Objective Optimization Genetic Algorithm to minimize the circuit area, delay, power consumption and digital noise by selecting an optimal grouping and word-length for each FU in a shared bus system. Results demonstrate that savings can be made in the overall system costs by applying this method.
978-1-4244-0920-4
2994 -2997
Ahmadi, Arash
c88cc469-b208-4dad-9541-af5e555e0748
Zwolinski, Mark
adfcb8e7-877f-4bd7-9b55-7553b6cb3ea0
Ahmadi, Arash
c88cc469-b208-4dad-9541-af5e555e0748
Zwolinski, Mark
adfcb8e7-877f-4bd7-9b55-7553b6cb3ea0

Ahmadi, Arash and Zwolinski, Mark (2007) Multiple-Width Bus Partitioning Approach to Datapath Synthesis At IEEE International Symposium on Circuits and Systems (ISCAS), United States. 27 - 30 May 2007. , 2994 -2997.

Record type: Conference or Workshop Item (Paper)

Abstract

A shared bus is a suitable structure for minimizing the interconnections costs in system synthesis. It has also been shown that the word-length of Functional Units has a great impact on design costs. A combination of both methods is used in this paper in the form of a partitioned shared bus structure, in which every partition has a different width and all the functional units connected to a bus partition have the same input/output word-lengths. Having controlled the group binding and word-length of the FUs as well as the other synthesis parameters, a high-level synthesis tool is introduced to implement DSP algorithms in digital hardware. The tool uses a Multi-Objective Optimization Genetic Algorithm to minimize the circuit area, delay, power consumption and digital noise by selecting an optimal grouping and word-length for each FU in a shared bus system. Results demonstrate that savings can be made in the overall system costs by applying this method.

PDF Multiple-Width_Bus_Partitioning_Approach_to_Datapath_Synthesis.pdf - Version of Record
Download (501kB)

More information

Published date: 2007
Additional Information: Event Dates: 27-30 May 2007
Venue - Dates: IEEE International Symposium on Circuits and Systems (ISCAS), United States, 2007-05-27 - 2007-05-30
Organisations: EEE

Identifiers

Local EPrints ID: 263741
URI: http://eprints.soton.ac.uk/id/eprint/263741
ISBN: 978-1-4244-0920-4
PURE UUID: cdba9fd0-e5dd-4740-9861-738502855b1c
ORCID for Mark Zwolinski: ORCID iD orcid.org/0000-0002-2230-625X

Catalogue record

Date deposited: 23 Mar 2007
Last modified: 18 Jul 2017 07:42

Export record

Contributors

Author: Arash Ahmadi
Author: Mark Zwolinski ORCID iD

University divisions

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×