PATENT CLAIM ANALYSIS

Application Number: 16041066
Application Type: Utility
Filing Date: 2018-07
Publication Date: 2018-11
Patent Classification: ["718", "102000"]

Abstract:
Aspects include computation systems that can identify computation instances that are not capable of being reentrant, or are not reentrant capable on a target architecture, or are non-reentrant as a result of having a memory conflict in a particular execution situation. For example, a system can have a plurality of computation units, each with an independently schedulable SIMD vector. Computation instances can be defined by a program module, and a data element(s) that may be stored in a local cache for a particular computation unit of the plurality. Each local cache does not maintain coherency controls for such data elements. During scheduling, a scheduler can maintain a list of running (or runnable) instances, and attempt to schedule new computation instances by determining whether any new computation instance conflicts with a running instance and responsively defer scheduling. Such memory conflict checks can be conditioned on a flag or other indication of the potential for non-reentrancy.

Claim (Index 18):
The graphics rendering method of  claim 11  wherein the instances of graphics computation are executed on the computation units in Single Instruction Multiple Data (SIMD) manner.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 95.0
- Lexical Diversity: 1.81053
- Patent Class: 718.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['13368682', '13567091', '14230093', '14817747', '13368616']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4930011362559651
- 35 USC 102 Novelty (BERT): 0.588366045607165
- Combined Prediction Score: 0.5025376271910852
- Mean Citation Score: 312.468096
- Max Citation Score: 472.40433
- Similarity Product: 353.19029446014054

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