PATENT CLAIM ANALYSIS

Application Number: 15924931
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2019-09
Patent Classification: ["711", "005000"]

Abstract:
An information handling system includes a first Dual In-Line Memory Module (DIMM) on a first memory channel of the information handling system, and a second DIMM on a second memory channel of the information handling system. A processor trains the first memory channel to a first speed based upon a first performance level of the first DIMM, trains the second memory channel to a second speed based upon a second performance level of the second DIMM, and allocates a portion of the first DIMM to the application based upon the first speed.

Claim (Index 15):
An information handling system, comprising:\n a first Dual In-Line Memory Module (DIMM) on a first memory channel of the information handling system; a second DIMM on a second memory channel of the information handling system; and a first processor configured to train the first memory channel to a first speed based upon a first performance level of the first DIMM; and a second processor configured to:\n train the second memory channel to a second speed based upon a second performance level of the second DIMM, the first speed different from the second speed; \n launch a first application; and \n allocate a first portion of the first DIMM to the first application based upon the first speed.

Metadata:
- Claim Count in Document: 7.0
- Percentile: 90.0
- Lexical Diversity: 2.82857
- Patent Class: 711.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15443530', '15446447', '15445179', '15429751', '15424638']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5038197056400151
- 35 USC 102 Novelty (BERT): 0.471662999105169
- Combined Prediction Score: 0.5006040349865305
- Mean Citation Score: 171.14460400000004
- Max Citation Score: 181.08916
- Similarity Product: 137.49677765541315

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