MAPPING GRAPHS ONTO CORE-BASED NEUROMORPHIC ARCHITECTURES

Patent №

US 9,852,370

Granted

2017-12-26

Filed 2014

Owner

INTERNATIONAL BUSINESS MACHINES CORPORATION

AI components

3

ml · kr · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

14528885

Embodiments of the invention provide a method for mapping a bipartite graph onto a neuromorphic architecture comprising of a plurality of interconnected neuromorphic core circuits. The graph includes a set of source nodes and a set of target nodes. The method comprises, for each source node, creating a corresponding splitter construct configured to duplicate input. Each splitter construct comprises a first portion of a core circuit. The method further comprises, for each target node, creating a corresponding merger construct configured to combine input. Each merger construct comprises a second portion of a core circuit. Source nodes and target nodes are connected based on a permutation of an interconnect network interconnecting the core circuits.

AI classification

Machine learning1.00
AI hardware1.00
Knowledge representation0.97
Vision0.10
Planning0.00
Evolutionary computation0.00
Natural language0.00
Speech0.00

Ownership

INTERNATIONAL BUSINESS MACHINES CORPORATION

assignment · 340750204

Assignors

AMIR, ARNON, DATTA, PALLAB, MEROLLA, PAUL A., MODHA, DHARMENDRA S.

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

From the same owner

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