A dynamic approach to controlling high-level synthesis CAD tools

Author

Gadient, Anthony J. ; Thomas, Donald E.

Author_Institution

SCRA Adv. Technol. Group, North Charleston, SC, USA

Volume

1

Issue

3

fYear

1993

Firstpage

328

Lastpage

341

Abstract

In this paper, we present a novel model of CAD tool control that can be used in the constraint-directed control of high-level synthesis tools. To enable this control we introduce the concept of a design space reasoning mechanism. We formally describe a statistical based, machine learning process that automatically generates the tool control knowledge necessary to drive the design space reasoning mechanism. The representation of this tool control knowledge in the form of a fuzzy, linear differential, qualitative model is described. Finally, the experimental results obtained using the Magellan system are presented.<>

Keywords

VLSI; circuit CAD; fuzzy control; knowledge engineering; logic CAD; CAD tool control; Magellan system; constraint-directed control; design space reasoning mechanism; fuzzy linear differential qualitative model; high-level synthesis CAD tools; statistical based machine learning process; tool control knowledge; Design automation; Distributed computing; Explosions; Fabrication; Fuzzy control; High level synthesis; Integrated circuit technology; Machine learning; Process control; Process design;

fLanguage

English

Journal_Title

Very Large Scale Integration (VLSI) Systems, IEEE Transactions on

Publisher

ieee

ISSN

1063-8210

Type

jour

DOI

10.1109/92.238446

Filename

238446