System design management

• US 9,773,085 B2
• Filed: 01/30/2015
• Issued: 09/26/2017
• Est. Priority Date: 05/27/2014
• Status: Active Grant

• Current Assignee: Siemens Industry Software Inc. (Siemens AG)
• Original Assignee: Mentor Graphics Corporation (Siemens AG)
• Inventors: McCallum, Darcy, Chown, Bill, Thompson, Eric
• Primary Examiner(s): Garbowski, Leigh
• Application Number:
  US14/610,948
• Publication Number:
  US 20150347632A1
• Time in Patent Office: 970 Days
• Field of Search: None
• CPC Class Codes: G06F 2111/02 CAD in a network environment, e.g. collaborative CAD or distributed simulation
• CPC Class Codes: G06F 2111/04 Constraint-based CAD
• CPC Class Codes: G06F 2111/06 Multi-objective optimisation, e.g. Pareto optimisation using simulated annealing [SA], ant colony algorithms or genetic algorithms [GA]
• CPC Class Codes: G06F 2111/08 Probabilistic or stochastic CAD
• CPC Class Codes: G06F 2111/20 Configuration CAD, e.g. designing by assembling or positioning modules selected from libraries of predesigned modules
• CPC Class Codes: G06F 30/00 Computer-aided design [CAD]
• CPC Class Codes: G06F 30/39 Circuit design at the physical level physical level design for reconfigurable circuits G06F30/347
• CPC Class Codes: G06F 30/398 Design verification or optimisation, e.g. using design rule check [DRC], layout versus schematics [LVS] or finite element methods [FEM] optical proximity correction [OPC] design processes G03F1/36

Abstract

This application discloses a computing system implementing tools and mechanisms to generate a framework for a system-level design of an electronic system, wherein the system-level design includes multiple electronic designs from different electronic design automation tools. The tools and mechanisms can correlate design components in the electronic designs to different portions of the framework for the system-level design, and determine whether the electronic designs are congruent with the system-level design based, at least in part, on the correlation of the electronic designs to the different portions of the framework for the system-level design.

Claims

1. A method comprising:

generating, by a computing system, a meta model having a plurality of objects with assigned attributes defining characteristics for a system-level design of an electronic system, wherein the meta-model includes one or more conditional action statements associated with the attributes;

correlating, by the computing system, electronic design data generated by a plurality of electronic design automation tools to the objects in the meta model;

comparing, by the computing system, a condition in at least one of the conditional action statements to the electronic design data correlated to the objects in the meta model; and

selectively performing, by the computing system, one or more actions defined in the conditional action statements based, at least in part, on the comparison of the condition to the electronic design data correlated data to the objects in the meta model.

2. The method of claim 1, wherein correlating electronic design data to the objects in the meta model further comprises identifying associations between the electronic design data and the objects in the meta model.

3. The method of claim 1, wherein correlating electronic design data to the objects in the meta model further comprises inferring associations between the electronic design data and the objects in the meta model based on a source of the electronic design data or a content of the electronic design data.

4. The method of claim 1, wherein the meta model is an extensible data structure that characterizes the electronic system with the objects and the attributes.

5. The method of claim 1, wherein the attributes describe physical or functional aspects of the corresponding objects or describe a relationship to another one of the objects.

6. The method of claim 1, wherein the objects are arranged in the meta model in a hierarchical structure based, at least in part, on common attributes, and wherein the hierarchical structure allows the objects to have corresponding attributes assigned to them directly or inherit the corresponding attributes from other objects at a higher-level in the hierarchical structure.

7. A system comprising:

a memory device configured to store machine-readable instructions; and

a computing system including one or more processing devices, in response to executing the machine-readable instructions, configured to;

generate a meta model having a plurality of objects with assigned attributes defining characteristics for a system-level design of an electronic system, wherein the meta-model includes one or more conditional action statements associated with the attributes;

correlate electronic design data generated by a plurality of electronic design automation tools to the objects in the meta model;

compare a condition in at least one of the conditional action statements to the electronic design data correlated to the objects in the meta model; and

selectively perform one or more actions defined in the conditional action statements based, at least in part, on the comparison of the condition to the electronic design data correlated data to the objects in the meta model.

8. The system of claim 7, wherein the one or more processing devices, in response to executing the machine-readable instructions, are further configured to identify associations between the electronic design data and the objects in the meta model.

9. The system of claim 7, wherein the one or more processing devices, in response to executing the machine-readable instructions, are further configured to infer associations between the electronic design data and the objects in the meta model based on a source of the electronic design data or a content of the electronic design data.

10. The system of claim 7, wherein the meta model is an extensible data structure that characterizes the electronic system with the objects and the attributes.

11. The system of claim 7, wherein the objects are arranged in the meta model in a hierarchical structure based, at least in part, on common attributes, and wherein the hierarchical structure allows the objects to have corresponding attributes assigned to them directly or inherit the corresponding attributes from other objects at a higher-level in the hierarchical structure.

12. An apparatus comprising at least one computer-readable memory device storing instructions configured to cause one or more processing devices to perform operations comprising:

generating a meta model having a plurality of objects with assigned attributes defining characteristics for a system-level design of an electronic system, wherein the meta-model includes one or more conditional action statements associated with the attributes;

correlating electronic design data generated by a plurality of electronic design automation tools to the objects in the meta model;

comparing a condition in at least one of the conditional action statements to the electronic design data correlated to the objects in the meta model; and

selectively performing one or more actions defined in the conditional action statements based, at least in part, on the comparison of the condition to the electronic design data correlated data to the objects in the meta model.

13. The apparatus of claim 12, wherein the instructions are configured to cause the one or more processing devices to perform operations further comprising identifying associations between the electronic design data and the objects in the meta model.

14. The apparatus of claim 12, wherein the instructions are configured to cause the one or more processing devices to perform operations further comprising inferring associations between the electronic design data and the objects in the meta model based on a source of the electronic design data or a content of the electronic design data.

15. The apparatus of claim 12, wherein the meta model is an extensible data structure that characterizes the electronic system with the objects and the attributes.

16. The apparatus of claim 12, wherein the attributes describe physical or functional aspects of the corresponding objects or describe a relationship to another one of the objects.

17. The apparatus of claim 12, wherein the objects are arranged in the meta model in a hierarchical structure based, at least in part, on common attributes, and wherein the hierarchical structure allows the objects to have corresponding attributes assigned to them directly or inherit the corresponding attributes from other objects at a higher-level in the hierarchical structure.