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.
Ownership
Cadence Design Systems, Inc.