A Bayesian network-based framework with Constraint Satisfaction Problem (CSP)formulations for FPGA system design

Azman, Amelia Wong and Bigdeli, Abbas and Mohd-Mustafah, Yasir and Biglari-Abhari, Morteza and Lovell, Brian (2010) A Bayesian network-based framework with Constraint Satisfaction Problem (CSP)formulations for FPGA system design. In: 21st IEEE International Conference on Application-specific Systems Architectures and Processors (ASAP 2010), 7-9 July 2010, Rennes, France.

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Abstract

In recent years, there has been a growing interest in IP-reuse for SoCs in order to bridge the gap between the silicon capacity and the design productivity. This research work investigates how our proposed methodology can be used to partition and schedule a JPEG encoder IP core onto an FPGA. We will also describe a novel Constraint Satisfaction Problem (CSP) formulations that are used in the proposed framework. At the same time, we will also demonstrate the effectiveness of CSP in the Bayesian Network-based framework.

Item Type:	Conference or Workshop Item (Full Paper)
Uncontrolled Keywords:	Bayesian networks, Bayesian statistical decision theory, expert systems
Subjects:	Q Science > QA Mathematics > QA76 Computer software
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Engineering
Depositing User:	Amelia Wong Azman
Date Deposited:	12 May 2011 11:58
Last Modified:	12 May 2011 11:58
URI:	http://irep.iium.edu.my/id/eprint/102

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