Implementing a neural network algorithm on a neurosynaptic substrate based on criteria related to the neurosynaptic substrate
US10204301B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Mar 18, 2015 |
| Grant date | Feb 12, 2019 |
| Priority date | — |
| Expiry date | Jun 18, 2037 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/0495
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
One embodiment of the invention provides a system for mapping a neural network onto a neurosynaptic substrate. The system comprises a reordering unit for reordering at least one dimension of an adjacency matrix representation of the neural network. The system further comprises a mapping unit for selecting a mapping method suitable for mapping at least one portion of the matrix representation onto the substrate, and mapping the at least one portion of the matrix representation onto the substrate utilizing the mapping method selected. The system further comprises a refinement unit for receiving user input regarding at least one criterion relating to accuracy or resource utilization of the substrate. The system further comprises an evaluating unit for evaluating each mapped portion against each criterion. Each mapped portion that fails to satisfy a criterion may be remapped to allow trades offs between accuracy and resource utilization of the substrate.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.