PATENT CLAIM ANALYSIS

Application Number: 15938924
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2019-02
Patent Classification: ["708", "603000"]

Abstract:
Disclosed embodiments relate to an accelerator for sparse-dense matrix instructions. In one example, a processor to execute a sparse-dense matrix multiplication instruction, includes fetch circuitry to fetch the sparse-dense matrix multiplication instruction having fields to specify an opcode, a dense output matrix, a dense source matrix, and a sparse source matrix having a sparsity of non-zero elements, the sparsity being less than one, decode circuitry to decode the fetched sparse-dense matrix multiplication instruction, execution circuitry to execute the decoded sparse-dense matrix multiplication instruction to, for each non-zero element at row M and column K of the specified sparse source matrix generate a product of the non-zero element and each corresponding dense element at row K and column N of the specified dense source matrix, and generate an accumulated sum of each generated product and a previous value of a corresponding output element at row M and column N of the specified dense output matrix.

Claim (Index 8):
The processor of  claim 7 , wherein the compressed format is either a compressed sparse row (CSR) format storing the non-zero elements in row-major order, or a compressed sparse column (CSC) format storing the non-zero elements in column-major order.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 90.0
- Lexical Diversity: 2.72131
- Patent Class: 708.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15396513', '15721529', '15384178', '15396511', '14866921']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4230093063953832
- 35 USC 102 Novelty (BERT): 0.5066473675587699
- Combined Prediction Score: 0.4313731125117219
- Mean Citation Score: 219.912504
- Max Citation Score: 230.34727
- Similarity Product: 167.23290314300775

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 1
- Claim Label 112: 0
- Combined Label: 1
- Label 101 Adjusted: 1

Dataset: test