PATENT CLAIM ANALYSIS

Application Number: 16042559
Application Type: Utility
Filing Date: 2018-07
Publication Date: 2020-01
Patent Classification: ["711", "163000"]

Abstract:
Techniques that facilitate hybrid memory access frequency are provided. In one example, a system stores access frequency data for storage class memory and volatile memory in a translation lookaside buffer. The access frequency data is indicative of a frequency of access to the storage class memory and the volatile memory. The system also determines whether to store data in the storage class memory or the volatile memory based on the access frequency data stored in the translation lookaside buffer.

Claim (Index 8):
A computer-implemented method, comprising:\n storing, by a system operatively coupled to a processor, access frequency data for storage class memory and volatile memory in a translation lookaside buffer, wherein the access frequency data is indicative of a frequency of access to the storage class memory and the volatile memory; generating, by the system, a scaled counter associated with the access frequency data; storing, by the system, the scaled counter, wherein the scaled counter is stored in the translation lookaside buffer based on a translation lookaside buffer miss, or the scaled counter data is stored in a page table entry based on a translation lookaside buffer eviction; receiving, by the system, data associated with a computing process; and determining, by the system, whether to store the data in the storage class memory or the volatile memory based on the access frequency data stored in the translation lookaside buffer.

Metadata:
- Claim Count in Document: 23.0
- Percentile: 95.0
- Lexical Diversity: 2.04878
- Patent Class: 711.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['10039368', '11586825', '14877484', '14874244', '15661598']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4881589203281289
- 35 USC 102 Novelty (BERT): 0.4740913588938826
- Combined Prediction Score: 0.4867521641847043
- Mean Citation Score: 204.95779
- Max Citation Score: 208.84846
- Similarity Product: 168.98185999607563

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

Dataset: test