Data volume sculptor for deep learning acceleration
US10977854B2 · kind B2 · utility
Assignees
Inventors
Key dates
| Filing date | Feb 20, 2019 |
| Grant date | Apr 13, 2021 |
| Priority date | — |
| Expiry date | Jul 26, 2039 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V10/759
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Embodiments of a device include on-board memory, an applications processor, a digital signal processor (DSP) cluster, a configurable accelerator framework (CAF), and at least one communication bus architecture. The communication bus communicatively couples the applications processor, the DSP cluster, and the CAF to the on-board memory. The CAF includes a reconfigurable stream switch and a data volume sculpting unit, which has an input and an output coupled to the reconfigurable stream switch. The data volume sculpting unit has a counter, a comparator, and a controller. The data volume sculpting unit is arranged to receive a stream of feature map data that forms a three-dimensional (3D) feature map. The 3D feature map is formed as a plurality of two-dimensional (2D) data planes. The data volume sculpting unit is also arranged to identify a 3D volume within the 3D feature map that is dimensionally smaller than the 3D feature map and isolate data from the 3D feature map that is within the 3D volume for processing in a deep learning algorithm.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.