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 10):
An apparatus for optimizing a scalable GPU virtualization, comprising:\n one or more guest vGPUs, each having a private shadow graphics translation table (GTT) to allow the one or more guest vGPUs to share an overlapped range of a global graphics memory space, wherein the global graphics memory space comprises a low global graphics memory space and a high global graphics memory space; and a host vGPU having:\n a ladder mapping unit, configured to allow CPU directly access host memory space serving the graphics memory, which bypasses the global graphics memory space, to share the low global graphics memory space among all of the vGPUs; \n a fence memory space pool, the fence memory space pool being a dedicated part of the low global graphics memory to work for fence registers, to address malfunction of fence registers; \n a fine-grained slotting unit, configured to divide the high global graphics memory space into a plurality of first-slots with each vGPU occupying a number of adjacent first-slots, the number of adjacent first-slots occupying less than a total of the high global graphics memory space; and \n a slot sharing unit, configured to divide the high global graphics memory space into a plurality of second-slots and deploy one or more vGPUs in one second-slot.

Metadata:
- Claim Count in Document: 38.0
- Percentile: 88.0
- Lexical Diversity: 1.31915
- Patent Class: 345.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['16062603', '15553143', '15482680', '15545274', '15482685']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5990875928268871
- 35 USC 102 Novelty (BERT): 0.5018493965557287
- Combined Prediction Score: 0.5893637731997713
- Mean Citation Score: 207.980246
- Max Citation Score: 255.40837
- Similarity Product: 198.17679068908868

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