Control wavelet for accelerated deep learning
US11727254B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Aug 27, 2020 |
| Grant date | Aug 15, 2023 |
| Priority date | — |
| Expiry date | Sep 22, 2040 |
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 compute element has memory. Each router enables communication via wavelets with nearest neighbors in a 2D mesh. A compute element receives a wavelet. If a control specifier of the wavelet is a first value, then instructions are read from the memory of the compute element in accordance with an index specifier of the wavelet. If the control specifier is a second value, then instructions are read from the memory of the compute element in accordance with a virtual channel specifier of the wavelet. Then the compute element initiates execution of the instructions.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.