Partial sum pre-computation to implement quantized neural networks on programmable devices
US11663490B1 · kind B1 · utility
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2References
20Claims
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Key dates
| Filing date | Oct 11, 2019 |
| Grant date | May 30, 2023 |
| Priority date | — |
| Expiry date | Mar 4, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/08
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
An example method of implementing a quantized neural network (QNN) for a programmable device includes: identifying multiply-accumulate operations of neurons in the QNN; converting the multiply-accumulate operations to memory lookup operations; and implementing the memory lookup operations using a pre-compute circuit for the programmable device, the pre-compute circuit storing a pre-computed output of a neuron in the QNN for each of the memory lookup operations.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.