PATENT CLAIM ANALYSIS

Application Number: 15863780
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2019-07
Patent Classification: ["345", "520000"]

Abstract:
Graphics processing unit (GPU) performance and power efficiency is improved using machine learning to tune operating parameters based on performance monitor values and application information. Performance monitor values are processed using machine learning techniques to generate model parameters, which are used by a control unit within the GPU to provide real-time updates to the operating parameters. In one embodiment, a neural network processes the performance monitor values to generate operating parameters in real-time.

Claim (Index 6):
The circuit of  claim 1 , wherein the control unit includes logic circuits configured to structurally implement the machine learning model.

Metadata:
- Claim Count in Document: 2.0
- Percentile: 86.0
- Lexical Diversity: 1.6
- Patent Class: 345.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['14810178', '14158749', '12853161', '12879976', '15147868']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.652340875281915
- 35 USC 102 Novelty (BERT): 0.4930824223023746
- Combined Prediction Score: 0.6364150299839609
- Mean Citation Score: 167.31906
- Max Citation Score: 171.01881
- Similarity Product: 107.04732450489524

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