Encoding of weight values stored on neural network inference circuit
US11049013B1 · kind B1 · utility
17Cited by
2References
20Claims
0Family size
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Key dates
| Filing date | Jun 28, 2019 |
| Grant date | Jun 29, 2021 |
| Priority date | — |
| Expiry date | Jun 30, 2039 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F2207/4824
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Some embodiments provide a neural network inference circuit for executing a neural network that includes multiple computation nodes at multiple layers. Each of a set of the computation nodes includes a dot product of input values and weight values. The neural network inference circuit includes (i) a first set of memory units allocated to storing input values during execution of the neural network and (ii) a second set of memory units storing encoded weight value data. The weight value data is encoded such that less than one bit of memory is used per weight value of the neural network.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.