Task activating for accelerated deep learning
US11157806B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Apr 17, 2018 |
| Grant date | Oct 26, 2021 |
| Priority date | — |
| Expiry date | Apr 17, 2038 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04L49/506
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Techniques in advanced deep learning provide improvements in one or more of accuracy, performance, and energy efficiency. An array of processing elements performs flow-based computations on wavelets of data. Each processing element has a compute element and a routing element. Each router enables communication via wavelets with at least nearest neighbors in a 2D mesh. Routing is controlled by virtual channel specifiers in each wavelet and routing configuration information in each router. Execution of an activate instruction or completion of a fabric vector operation activates one of the virtual channels. A virtual channel is selected from a pool comprising previously activated virtual channels and virtual channels associated with previously received wavelets. A task corresponding to the selected virtual channel is activated by executing instructions corresponding to the selected virtual channel.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.