US 2026/0073112 A1 · PESSIMISM REDUCTION IN VERY LARGE SCALE INTEGRATED (VLSI) CIRCUIT DESIGN USING NET-SPECIFIC K FACTORS

Abstract

A computer implemented method includes determining a noise adjustment value for a specific subnet of a very large scale integrated (VLSI) circuit. A K factor for the specific subnet is determined based on the noise adjustment value of the specific subnet. The K factor is constant such that a timing of the specific subnet including the K factor is equal to the noise adjustment value of the specific subnet. The K factor for the specific subnet is stored in a design architecture.

Claims20

Dependent claims

A computer implemented method comprising:

determining a noise adjustment value for a specific subnet of a very large scale integrated (VLSI) circuit;
determining a K factor for the specific subnet based on the noise adjustment value of the specific subnet, wherein the K factor is constant such that a timing of the specific subnet including the K factor is equal to the noise adjustment value of the specific subnet;
and
storing the K factor for the specific subnet in a design architecture.

1 more element

Dependencies are inferred from the claim text.

Facts

Application

18/827,982Filed 9 Sep 2024

Published

12 Mar 2026

Term ends

Not estimatedThe source records don’t support an estimate.

Classification5 codes

G06F 30/3323
Design verification, e.g. functional simulation or model checking: using formal methods, e.g. equivalence checking or property checking
G06F 30/3312
Using simulation: timing analysis
G06F 2119/10
Details relating to the type or aim of the analysis or the optimisation: noise analysis or noise optimisation
G06F 2119/12
Details relating to the type or aim of the analysis or the optimisation: timing analysis or timing optimisation

Pessimism reduction in very large scale integrated (vlsi) circuit design using net-specific k factors

Life of this patent

Pessimism reduction in very large scale integrated (vlsi) circuit design using net-specific k factors

Life of this patent

Abstract

Claims20