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 20):
A non-transitory, computer-readable storage medium storing instructions that, when executed by a processor, cause the processor to:\n execute, by a multiprocessing unit, a multithreaded application according to one or more operating parameters; measure, by a performance monitor circuits within the multiprocessing unit, performance monitor values during execution of the multithreaded application; report, by the performance monitor circuits within the multiprocessing unit, the performance monitor values during execution of the multithreaded application; and generate, by a control unit, one or more operating parameters based on the performance monitor values, wherein the control unit includes a machine learning model configured to receive the performance monitor values as inputs and update the one or more operating parameters as outputs during execution of the multithreaded application.

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): 0.6559882043706013
- 35 USC 102 Novelty (BERT): 0.4776895913255842
- Combined Prediction Score: 0.6381583430660996
- Mean Citation Score: 167.31906
- Max Citation Score: 171.01881
- Similarity Product: 123.92986551749468

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