NON-VON NEUMANN OPTIMIZATION BASED ON APPROXIMATE MESSAGE PASSING

Patent №

US 10,248,323

Granted

2019-04-02

Filed 2016

Owner

INTERNATIONAL BUSINESS MACHINES CORPORATION

AI components

2

ml · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

15274340

A computing system having a computational memory and a method configured to perform computations using an approximate message passing process. The system exploits memcomputing which is a prominent non-von Neumann computational approach expected to significantly improve an energy efficiency of computing systems. The computational memory includes at least one memristive array comprising a plurality of memristive devices arranged in a crossbar topology and the computing system may further comprise digital combinational control circuitry adapted to perform read and write operations on the at least one memristive array and to store at least one state variable of the approximate message passing process. An output of the at least one memristive array represents a result of a computation of the approximate message passing process. The control circuitry may comprise circuitry to iteratively perform computations that may not require high precision.

Machine learningAI hardwareG06F 3/061G06F 3/0604G06F 3/064G06F 3/0679G11C 13/0002G11C 13/0007G11C 13/004G11C 13/0069+1 more

AI classification

AI hardware1.00
Machine learning1.00
Vision0.00
Natural language0.00
Evolutionary computation0.00
Speech0.00
Knowledge representation0.00
Planning0.00

Ownership

INTERNATIONAL BUSINESS MACHINES CORPORATION

assignment · 399660979

Assignors

CHERUBINI, GIOVANNI, LE GALLO, MANUEL, SEBASTIAN, ABU

On an employer assignment, the assignors are typically the inventors.

From the same owner

© 2026 NYSGPT2525 LLC