PATENT CLAIM ANALYSIS

Application Number: 15770524
Application Type: Utility
Filing Date: 2018-04
Publication Date: 2019-02
Patent Classification: ["717", "160000"]

Abstract:
Provided is a vectorization device  30  comprising: a unit  31  that detects a configuration in which the inner loop length depends on the outer loop variable, and in which a first array indicating the results of dual-loop processing does not contain the inner loop variable as an index value; an unit  32  that, when the configuration is detected, determines a fixed value as the inner loop length; an unit  33  that expands the array size of a second array used in the calculation of the first array value, and thereby enables dual-loop processing of the inner loop; an unit  34  that sets an element value for an added element of the second array, and thereby, before and after such processing is carried out, enables the results of the dual-loop processing to be made equal; and an unit  35  that updates the software on the basis of such processing results.

Claim (Index 8):
The vectorization device according to  claim 1 , wherein\n the fixed value determination unit determines, as the fixed value, a maximum value of a particular integer value satisfying that a ratio of a sum of loop lengths of the inner loop to a value acquired by multiplying a loop length of the outer loop by the particular integer value is equal to or more than a predetermined value.

Metadata:
- Claim Count in Document: 6.0
- Percentile: 91.0
- Lexical Diversity: 2.25
- Patent Class: 717.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['15018445', '13994062', '15660603', '13628826', '14688043']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3583691382345071
- 35 USC 102 Novelty (BERT): 0.5003111426560422
- Combined Prediction Score: 0.3725633386766606
- Mean Citation Score: 184.97447000000005
- Max Citation Score: 199.8852
- Similarity Product: 151.83142454037667

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

Dataset: test