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 10):
The circuit of  claim 1 , wherein the controller is further configured to:\n a) identify, from the read data, matrix column vectors to be written to the at least one memristor network; b) perform a Gather operation on the matrix column vectors; such that\n i. matrix column vectors are stored across a collection of sub-banks of SRAM memory, and \n ii. matrix column vectors are read from SRAM memory into a request queue, routed to designated Gather registers through a sub-bank address/data crossbar, and accessed by a VMM processor from associated Gather registers; \n c) map the matrix column vectors contained in Gather registers to conductance values of crossbars of the at least one memristor network of the VMM processor; and d) determine memristor weight values to program the at least one memristor network of the VMM processor based on the map.

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): 0.4051558825238504
- 35 USC 102 Novelty (BERT): 0.5241496241511846
- Combined Prediction Score: 0.4170552566865838
- Mean Citation Score: 215.79615
- Max Citation Score: 339.46613
- Similarity Product: 237.38149894785224

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