PATENT CLAIM ANALYSIS

Application Number: 15903572
Application Type: Utility
Filing Date: 2018-02
Publication Date: 2018-06
Patent Classification: ["370", "254000"]

Abstract:
Aspects of the present disclosure are directed to systems, methods and computer readable medium for reducing the number of unique routers/network elements/module instances on a network on chip to get a simplified NoC RTL without effecting the behavior and performance of NoC. According to an example implementation of the present disclosure, plurality of NoC elements of a given NoC can be grouped together to form one or more groups, and one or more superset NoC elements/module instances encompassing capabilities/functionalities of plurality of individual NoC elements of said one or more groups can be determined/created for each of the said one or more groups. In an example implementation, the NoC can be represented by replacing plurality of NoC elements with the created superset NoC elements/module instances, which may reduce the number of unique module instances within an application specific network on chip or system of chip.

Claim (Index 14):
The non-transitory computer readable medium of  claim 13 , wherein the plurality of NoC elements incurring a minimal cost increase are repeatedly identified and merged until total cost constraint or the number of unique elements is reached;\n wherein elements incurring cost increase within a threshold are automatically identified and merged.

Metadata:
- Claim Count in Document: 41.0
- Percentile: 88.0
- Lexical Diversity: 2.125
- Patent Class: 370.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['14726289', '15425919', '15903396', '14743865', '14493018']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6403744884429586
- 35 USC 102 Novelty (BERT): 0.5383189765312405
- Combined Prediction Score: 0.6301689372517868
- Mean Citation Score: 264.903518
- Max Citation Score: 291.03928
- Similarity Product: 166.74082626677514

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 1
- Claim Label 112: 1
- Combined Label: 1
- Label 101 Adjusted: 1

Dataset: test