PATENT CLAIM ANALYSIS

Application Number: 15899948
Application Type: Utility
Filing Date: 2018-02
Publication Date: 2019-08
Patent Classification: ["714", "764000"]

Abstract:
Systems and methods for efficiently implementing data protection techniques that protect data stored in volatile and non-volatile memory devices from soft errors are described. The error correction overprovisioning for a plurality of memory banks may be reduced by implementing localized single-bit error parity to detect single-bit errors within each memory bank of the plurality of memory banks and then sharing a single-error correcting parity or a single-error correcting and double-error detecting parity (SECDEC) over multiple memory banks or over all of the plurality of memory banks. The single-error correcting code (e.g., a Hamming code) may be generated and shared over the plurality of memory banks such that the single-error correcting code may correct single-bit errors across multiple sets of data stored within the plurality of memory banks that correspond with a particular line or row across all of the plurality of memory banks.

Claim (Index 2):
The apparatus of  claim 1 , wherein:\n the set of shared parity check bits were generated using the second set of data and the other data that was stored using the memory cells corresponding with the particular line within the second memory bank prior to being updated.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 88.0
- Lexical Diversity: 2.09722
- Patent Class: 714.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['14068003', '11748595', '11836264', '12437438', '11769324']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3147848442463813
- 35 USC 102 Novelty (BERT): 0.4872586317162199
- Combined Prediction Score: 0.3320322229933652
- Mean Citation Score: 184.777582
- Max Citation Score: 201.47862
- Similarity Product: 137.79048338717942

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

Dataset: test