PATENT CLAIM ANALYSIS

Application Number: 15891979
Application Type: Utility
Filing Date: 2018-02
Publication Date: 2019-07
Patent Classification: ["345", "418000"]

Abstract:
Described herein is a method for optimizing a scalable GPU virtualization, comprising: providing each vGPU with a private shadow graphics translation table (GGTT); copying vGPU's private shadow GTT to physical GTT along with the context switch, wherein the private shadow GTT allows vGPUs to share an overlapped range of a global graphics memory space.

Claim (Index 13):
The apparatus of  claim 10 , wherein the host vGPU further comprises:\n a predictive GTT copy unit, configured to predict a next vGPU that will run in a next time slice, wherein:\n if adjacent vGPUs in a scheduling sequence are not deployed on a same second-slot, a next vGPU's Shadow GTT is copied to its corresponding second-slot while a previous vGPU still occupies GPU to shorten a context switch time.

Metadata:
- Claim Count in Document: 38.0
- Percentile: 88.0
- Lexical Diversity: 1.31915
- Patent Class: 345.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['16062603', '15553143', '15482680', '15545274', '15482685']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6269827169058957
- 35 USC 102 Novelty (BERT): 0.5055982407871857
- Combined Prediction Score: 0.6148442692940248
- Mean Citation Score: 207.980246
- Max Citation Score: 255.40837
- Similarity Product: 194.08187554864944

Labels:
- Claim Label 101: 1
- Claim Label 102: 0
- Claim Label 103: 0
- Claim Label 112: 1
- Combined Label: 0
- Label 101 Adjusted: 1

Dataset: test