A signature based approach to regularity extraction
Srinivasa R. Arikati, Ravi Varadarajan
Abstract
Srinivasa R. Arikati, Ravi Varadarajan
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
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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