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 5):
The processor of  claim 1 , wherein the execution circuitry generates the products using multipliers having a same size as data elements of the specified sparse source matrix, the specified dense source matrix, and the specified dense output matrix, generates the accumulated sums using accumulators having twice the size of the data elements of the specified sparse source matrix and the specified dense source matrix, and performs saturation and rounding on each of the accumulated sums before writing the saturated and rounded accumulated sum to the specified dense output matrix.

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): 0.4228419986895446
- 35 USC 102 Novelty (BERT): 0.5073758264665873
- Combined Prediction Score: 0.4312953814672489
- Mean Citation Score: 219.912504
- Max Citation Score: 230.34727
- Similarity Product: 165.70693562672795

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