PATENT CLAIM ANALYSIS

Application Number: 16423702
Application Type: Utility
Filing Date: 2019-05
Publication Date: 2019-09
Patent Classification: ["712", "022000"]

Abstract:
In an embodiment, a matrix computation engine is configured to perform matrix computations (e.g. matrix multiplications). The matrix computation engine may perform numerous matrix computations in parallel, in an embodiment. More particularly, the matrix computation engine may be configured to perform numerous multiplication operations in parallel on input matrix elements, generating resulting matrix elements. In an embodiment, the matrix computation engine may be configured to accumulate results in a result memory, performing multiply-accumulate operations for each matrix element of each matrix.

Claim (Index 16):
A method comprising:\n reading a first vector of first elements from a first operand memory in a computation engine, the first elements having a first size; using a lookup table in the computation engine to map each of the elements of the first vector to second elements having a second size greater than the first size, wherein the second elements form a second vector; and performing multiply-accumulate operations on the second vector of second elements and a third vector of third elements.

Metadata:
- Claim Count in Document: 10.0
- Percentile: 100.0
- Lexical Diversity: 2.13636
- Patent Class: 712.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15800342', '15946724', '15593192', '15858788', '10192059']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5473466899131006
- 35 USC 102 Novelty (BERT): 0.5120731460391668
- Combined Prediction Score: 0.5438193355257073
- Mean Citation Score: 186.910876
- Max Citation Score: 299.0604
- Similarity Product: 227.1313193753243

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

Dataset: test