1997Unpublished venueRequires access

A signature based approach to regularity extraction

Srinivasa R. Arikati, Ravi Varadarajan

Open publisher page 29 citations

Abstract

Regularity extraction is an important step in the design ow of datapath-dominated circuits. This paper outlines a new method that automatically extracts regular structures from the netlist. The method is general enough to handle two types of designs: designs with structured cluster information for a portion of the datapath components that are identi ed at the HDL level; and designs with no such structured cluster information. The method analyzes the circuit connectivity and uses signature based approaches to recognize regularity. 1

About this research paper

What this paper is about

Regularity extraction is an important step in the design ow of datapath-dominated circuits. This paper outlines a new method that automatically extracts regular structures from the netlist. The method is general enough to handle two types of designs: designs with structured cluster information for a portion of the datapath components that are identi ed at the HDL level; and designs with no such structured cluster information. The method analyzes the circuit connectivity and uses signature based approaches to recognize regularity. 1

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OpenAlex reports 29 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

Regularity extraction is an important step in the design ow of datapath-dominated circuits. This paper outlines a new method that automatically extracts regular structures from the netlist. The method is general enough to handle two types of designs: designs with structured cluster information for a portion of the datapath components that are identi ed at the HDL level; and designs with no such structured cluster information. The method analyzes the circuit connectivity and uses signature based approaches to recognize regularity. 1

Key concepts: Netlist, Datapath, Signature (topology), Computer science, Design flow, Data mining, Cluster (spacecraft), Theoretical computer science

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