Microthreading for accelerated deep learning
US11475282B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Apr 17, 2018 |
| Grant date | Oct 18, 2022 |
| 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 compute elements and routers performs flow-based computations on wavelets of data. Some instructions are performed in iterations, such as one iteration per element of a fabric vector or FIFO. When sources for an iteration of an instruction are unavailable, and/or there is insufficient space to store results of the iteration, indicators associated with operands of the instruction are checked to determine whether other work can be performed. In some scenarios, other work cannot be performed and processing stalls. Alternatively, information about the instruction is saved, the other work is performed, and sometime after the sources become available and/or sufficient space to store the results becomes available, the iteration is performed using the saved information.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.