Effective and Efficient FPGA Synthesis through Functional Decomposition Based on Information Relationship Measures

Authors:
A. Chojnacki
Affiliations:
-
Venue:
DSD '01 Proceedings of the Euromicro Symposium on Digital Systems Design
Year:
2001

Citing 0
Cited 4

Advanced AI Search Techniques in Modern Digital Circuit Synthesis

Artificial Intelligence Review
General decomposition of incompletely specified sequential machines with multi-state behavior realization

Journal of Systems Architecture: the EUROMICRO Journal
Information-driven circuit synthesis with the pre-characterized gate libraries

Journal of Systems Architecture: the EUROMICRO Journal - Special issue: Reconfigurable embedded systems: Synthesis, design and application
Advanced AI search techniques in modern digital circuit synthesis

Artificial intelligence in logic design

Quantified Score

Hi-index	0.00

Visualization

Abstract

Abstract: In this paper, a new information-driven circuit synthesis method is proposed that targets LUT-based FPGAs. The method is based on the bottom-up general functional decomposition and theory of information relationship measures that we previously developed. It differs considerably from all other known methods. The experimental results from the automatic circuit synthesis tool that implements the method clearly demonstrate that functional decomposition based on information relationship measures produces effective FPGA circuits.