Application of the residue number system to reduce hardware costs of the convolutional neural network implementation
North-Caucasus Federal University · Saint Petersburg State Electrotechnical University
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Abstract
No abstract available for this paper.
Citation impact
481
total citations
- FWCI
- 101.06
- Percentile
- 100%
- References
- 57
Citations per year
Authors
5- MVMaria Valueva
North-Caucasus Federal University
- NNNikolay NagornovCorresponding
Saint Petersburg State Electrotechnical University
- PLPavel Lyakhov
North-Caucasus Federal University, Saint Petersburg State Electrotechnical University
- GVGeorgii Valuev
North-Caucasus Federal University
- NCN.I. Chervyakov
North-Caucasus Federal University
Topics & keywords
Topics
Keywords
- Residue (chemistry)
- Convolutional neural network
- Computer science
- Computer hardware
- Residue number system
- Arithmetic
- Embedded system
- Artificial intelligence
UN Sustainable Development Goals
- Industry, innovation and infrastructure
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