National Technology & Engineering Solutions of Sandia, LLC

Lewis Rhodes Labs, Inc.

John H Naegle

James Bradley Aimone

David R Follett

Pamela L Follett

Craig Michael Vineyard

Frances S Chance

Jonathon W Donaldson

Various technologies pertaining to allocating computing resources of a neuromorphic computing system are described herein. Subgraphs of a neural algorithm graph to be executed by the neuromorphic computing system are identified. The subgraphs are each executed by a group of neuron circuits serially. Output data generated by execution of the subgraphs are provided to the same or a second group of neuron circuits at a same time or with associated timing data indicative of a time at which the output data was generated. The same or second group of neuron circuits performs one or more processing operations based upon the output data.

Neuromorphic computing architecture with dynamically accessible contexts

A method for processing data is provided. Data is identified by a computer system. The data is processed in parallel by the computer system using temporal transformations to form pieces of temporal data. The pieces of temporal data are placed by the computer system in an order as the pieces of temporal data are generated by the temporal transformations to form a sequence of temporal data. The order of the sequence is based on a priority of when the pieces of temporal data should be processed, enabling performing an action.

Temporal data system

Growing community of inventors

Albuquerque, NM, United States of America

John H Naegle