Neural network computation method using adaptive data representation
US11594277B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jul 22, 2022 |
| Grant date | Feb 28, 2023 |
| Priority date | — |
| Expiry date | Jul 22, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG11C2213/77
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method for neural network computation using adaptive data representation, adapted for a processor to perform multiply-and-accumulate operations on a memory having a crossbar architecture, is provided. The memory comprises multiple input and output lines crossing each other, multiple cells respectively disposed at intersections of the input and output lines, and multiple sense amplifiers respectively connected to the output lines. In the method, an input cycle of kth bits respectively in an input data is adaptively divided into multiple sub-cycles, wherein a number of the divided sub-cycles is determined according to a value of k. The kth bits of the input data are inputted to the input lines with the sub-cycles and computation results of the output lines are sensed by the sense amplifiers. The computation results sensed in each sub-cycle are combined to obtain the output data corresponding to the kth bits of the input data.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.