SYSTEM AND METHOD FOR GENERATION OF QUALITY METRICS FOR OPTIMIZATION TASKS IN TOPOLOGY SYNTHESIS OF A NETWORK

Patent №

US 11,601,357

Granted

2023-03-07

Filed 2020

Owner

ARTERIS, INC.

Lab

AI components

1

ml

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

17129950

System and methods are disclosed to qualify networks properties and that can be used for topology synthesis of networks, such as a network-on-chip (NoC). In accordance with various embodiments and different aspects of the invention, quality metric are generated, analyzed, and used to determine a quantitative quality set of values for a given generated solution for a network. The method disclosed allows the network designer or an automated network generation process to understand if the results produced are a good, an average or a bad solution. The advantage of the invention includes simplification of design process and the work of the designer by using quality metrics. Various quality metrics are generated using network definitions. These quality metrics provide quality evaluation and the quality assessment of the optimization process for a generated (optimized) network. The quality metrics include analyzing latency through a network and analyzing total wore length used by the network.

Machine learningG06F 30/327H04L 45/12G06F 30/394H04L 45/02H04L 45/302H04L 45/42G06F 2111/04G06F 2115/02+2 more

AI classification

Machine learning0.97
Knowledge representation0.33
Evolutionary computation0.14
AI hardware0.03
Planning0.00
Natural language0.00
Vision0.00
Speech0.00

Ownership

ARTERIS, INC.

assignment · 554850712

Assignors

CHERIF, MOEZ, DE LESCURE, BENOIT

On an employer assignment, the assignors are typically the inventors.

From the same owner

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