PATENT CLAIM ANALYSIS

Application Number: 16235242
Application Type: Utility
Filing Date: 2018-12
Publication Date: 2019-07
Patent Classification: ["706", "038000"]

Abstract:
A co-processor is configured for performing vector matrix multiplication (VMM) to solve computational problems such as partial differential equations (PDEs). An analog Discrete Fourier Transform (DFT) can be implemented by invoking VMM of input signals with Fourier basis functions using analog crossbar arrays. Linear and non-linear PDEs can be solved by implementing spectral PDE solution methods as an alternative to massively discretized finite difference methods, while exploiting inherent parallelism realized through the crossbar arrays. A digital controller interfaces with the crossbar arrays to direct write and read operations to the crossbar arrays.

Claim (Index 18):
The circuit of  claim 1 , wherein the controller is further configured to interface with a neural network system-on-chip (SoC), the controller being configured to:\n a) comprise a pair of digital signal processors, such that\n i. one digital signal processor is devoted solely to I/O into and out of the at least one memristor network of the VMM processor \n ii. a second digital signal processor is devoted to digital architecture functions such as the VMM signal processing chain, memory management, non-linear operations, custom instruction processing, and calibration/compensation algorithms. \n b) interface to the neural network system-on-chip, such that\n i. the SoC is tasked with a neural network inference workload defined by a neural network model descriptor, and contains a set of kernel functions to be run on VMM processors \n ii. the model descriptor's kernel functions are compiled into custom instructions to be passed by the neural network system-on-chip through a high speed interconnect to the set of digital signal processors \n c) receive and process instructions through the set of digital signal processors to cause the VMM processor to execute the VMM functions.

Metadata:
- Claim Count in Document: 8.0
- Percentile: 98.0
- Lexical Diversity: 1.41096
- Patent Class: 706.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15427591', '14328043', '15997030', '16235115', '15572852']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4050622911429215
- 35 USC 102 Novelty (BERT): 0.5226660262489874
- Combined Prediction Score: 0.4168226646535281
- Mean Citation Score: 215.79615
- Max Citation Score: 339.46613
- Similarity Product: 257.4052913320589

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

Dataset: test