PATENT CLAIM ANALYSIS

Application Number: 16194217
Application Type: Utility
Filing Date: 2018-11
Publication Date: 2019-06
Patent Classification: ["712", "203000"]

Abstract:
Methods, systems, and apparatus, including computer programs encoded on computer storage media, for computing a multivalue reduction using a parallel processing device. One of the methods includes performing a parallel M-value reduction by parallel processing units of a parallel processing device. A plurality of initial reductions are performed in serial, each initial reduction operating on data in a different respective register space of at least M register spaces. Data is moved from the M register spaces so that all results from the plurality of initial reductions are in a same first register space. One or more subsequent reductions are performed in parallel to compute M final values, each subsequent reduction operating only on data in the first register space.

Claim (Index 4):
The parallel processing device of  claim 3 , wherein performing the second partial reduction by each parallel processing unit comprises performing a reduction over 1) data in the second register space stored by the parallel processing unit and 2) data in the second register space stored by another parallel processing unit having a position j in an ordering of the parallel processing units given by j\u2212N/2 modulo N.

Metadata:
- Claim Count in Document: 1.0
- Percentile: 98.0
- Lexical Diversity: 1.91176
- Patent Class: 712.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15839637', '14721304', '15628527', '13485622', '12786239']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5443821744955836
- 35 USC 102 Novelty (BERT): 0.5138605402255583
- Combined Prediction Score: 0.541330011068581
- Mean Citation Score: 156.813102
- Max Citation Score: 290.22888
- Similarity Product: 193.5826790134621

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