PATENT CLAIM ANALYSIS

Application Number: 15955433
Application Type: Utility
Filing Date: 2018-04
Publication Date: 2018-10
Patent Classification: ["718", "104000"]

Abstract:
Methods, systems, and apparatus, including computer programs encoded on computer storage media, for placement and scheduling of radio signal processing dataflow operations. An example method provides a primitive radio signal processing computational dataflow graph that comprises nodes representing operations and directed edges representing data flow. The nodes and directed edges of the primitive radio signal processing computational dataflow graph are partitioned to produce a set of software kernels that, when executed on processing units of a target hardware platform, achieve a specific optimization objective. Runtime resource scheduling, including data placement for individual software kernels in the set of software kernels to efficiently execute operations on the processing units of the target hardware platform. The resources of the processing units in the target hardware platform are then allocated according to the defined runtime resource scheduling.

Claim (Index 3):
The method of  claim 1 , wherein defining resource runtime scheduling further includes determining buffer sizes between software kernels, determining an amount of data on which each software kernel executes at a given time, determining an order in which the software kernels execute, or determining an amount of information transferred over a bus or memory region at each time between kernel executions or moves between processor domains.

Metadata:
- Claim Count in Document: 32.0
- Percentile: 91.0
- Lexical Diversity: 2.11594
- Patent Class: 718.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15953896', '14741399', '14842956', '12146715', '15467318']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4643244706611908
- 35 USC 102 Novelty (BERT): 0.5038898906254937
- Combined Prediction Score: 0.4682810126576211
- Mean Citation Score: 182.338422
- Max Citation Score: 193.9552
- Similarity Product: 146.12176059932708

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