PATENT CLAIM ANALYSIS

Application Number: 15866425
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2019-02
Patent Classification: ["713", "320000"]

Abstract:
Various embodiments comprise prioritizing frequency allocations in thermally- or power-constrained computing devices. Computer elements may be assigned ‘weights’ based on their priorities. The computer elements with higher weights may receive higher frequency allocations to assure they receive priority in processing more quickly. The computer elements with lower weights may receive lower frequency allocations and suffer a slowdown in their processing. Elements with the same weight may be grouped together for the purpose of frequency allocation.

Claim (Index 14):
A computer-readable non-transitory storage medium that contains instructions, which when executed by one or more processors result in performing operations comprising:\n determining, for each element i in a processing system, a minimum frequency f i  at which the element will meet minimum performance levels; determining, for each element i, a maximum frequency F i  at which the element will meet desired performance levels without exceeding the desired performance levels; determining an aggregate frequency budget for all elements combined; if the aggregate frequency budget is less than an aggregate of minimum frequencies for all elements combined, distributing less than each element's minimum frequency to each corresponding element; and if the aggregate frequency budget is greater than an aggregate of maximum frequencies for all elements combined, distributing each element's maximum frequency to each corresponding element.

Metadata:
- Claim Count in Document: 1.0
- Percentile: 86.0
- Lexical Diversity: 1.57692
- Patent Class: 713.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15024040', '14381459', '12493886', '15291717', '14696462']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3089204338962083
- 35 USC 102 Novelty (BERT): 0.4759943914913757
- Combined Prediction Score: 0.325627829655725
- Mean Citation Score: 106.9202824
- Max Citation Score: 118.784386
- Similarity Product: 81.21392846237302

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

Dataset: test