PATENT CLAIM ANALYSIS

Application Number: 15924029
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2018-07
Patent Classification: ["345", "506000"]

Abstract:
A method for optimization of machine learning (ML) workloads on a graphics processor unit (GPU). The method includes identifying a computation having a generic pattern commonly observed in ML processes. Hierarchical aggregation spanning a memory hierarchy of the GPU for processing is performed for the identified computation including maintaining partial output vector results in shared memory of the GPU. Hierarchical aggregation for vectors is performed including performing intra-block aggregation for multiple thread blocks of a partial output vector results on GPU global memory.

Claim (Index 17):
An apparatus comprising:\n a graphics processor unit (GPU) configured to identify a computation having a generic pattern commonly observed in ML processes; a storage processor configured to perform hierarchical aggregation spanning a memory hierarchy of the GPU to process the identified computation including maintaining partial output vector results in shared memory of the GPU; and a vector processor configured to perform hierarchical aggregation for vectors comprising performing intra-block aggregation for multiple thread blocks of a partial output vector results on GPU global memory.

Metadata:
- Claim Count in Document: 43.0
- Percentile: 90.0
- Lexical Diversity: 1.71698
- Patent Class: 345.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['14813522', '15190073', '14580110', '14927428', '12569942']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6161293532649125
- 35 USC 102 Novelty (BERT): 0.532626724131053
- Combined Prediction Score: 0.6077790903515266
- Mean Citation Score: 209.00097800000003
- Max Citation Score: 368.76996
- Similarity Product: 335.0319764845276

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