Data structure descriptors for deep learning acceleration
US11232348B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jul 15, 2020 |
| Grant date | Jan 25, 2022 |
| Priority date | — |
| Expiry date | Jul 15, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/084
- 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 respective compute element and a respective routing element. Instructions executed by the compute element include operand specifiers, some specifying a data structure register storing a data structure descriptor describing an operand as a fabric vector or a memory vector. The data structure descriptor further describes the memory vector as one of a one-dimensional vector, a four-dimensional vector, or a circular buffer vector. Optionally, the data structure descriptor specifies an extended data structure register storing an extended data structure descriptor. The extended data structure descriptor specifies parameters relating to a four-dimensional vector or a circular buffer vector.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.