System and Method for Creating a High-Level Parameter Relational Data Model for Memory Configurability Solutions

Patent №

US 12,182,020

Granted

2024-12-31

Filed 2023

Owner

Cadence Design Systems, Inc.

Lab

AI components

0

Assignment

None on record

Dataset

AIPD

Application

18339290

Embodiments are directed towards a method for creating a relational memory designed for one or more key parameters in at least one memory part configurations library. The method may include identifying one or more high-level parameters (HLPs) within the at least one memory part configurations library, assigning each non-HLP parameter an HLP key, using the assigned HLP keys as a frame of reference to cross-correlate each non-HLP parameter with every other non-HLP parameter in the at least one memory part configurations library. The method may also include extracting a complete relational memory attribute set from the cross-correlated parameters in the at least one memory part configurations library, generating memory configuration metadata equivalent to the at least one memory part configurations library from the complete relational memory attribute set, and providing memory part automation from the generated memory configuration metadata.

G06F 12/0811G06N 5/022G06N 5/01

Ownership

Cadence Design Systems, Inc.

From the same owner

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