Artificial intelligence
A design utility manager: the ADAM planning engine
DAC '86 Proceedings of the 23rd ACM/IEEE Design Automation Conference
An expert-system paradigm for design
DAC '86 Proceedings of the 23rd ACM/IEEE Design Automation Conference
An Artificial Intelligence Approach to VLSI Design
An Artificial Intelligence Approach to VLSI Design
Logic Minimization Algorithms for VLSI Synthesis
Logic Minimization Algorithms for VLSI Synthesis
A method of automatic data path synthesis
DAC '83 Proceedings of the 20th Design Automation Conference
LSS: a system for production logic synthesis
IBM Journal of Research and Development
A Model-Based Expert System for Digital System Design
IEEE Design & Test
| Hi-index | 0.00 |
We present a novel approach for automating the functional design of digital systems. Given a set of behavioral specifications, the objective is to produce an optimal functional design which minimizes certain design criteria. One distinct feature of this approach is adding the step of function minimization. That is, the abstraction of the primitive operations into a set of functions that generates the desired behavior attempts to minimize the cost of that set according to the design criteria. For this purpose, it is important to have a powerful search strategy which will lead to a near-optimal solution in a reasonable time. We have adopted best-first search (A* algorithm) as the general framework, and developed several domain-specific heuristic functions (h') which control the search process. Preliminary experimental results are reported.