Hardware-Efficient Stochastic Binary CNN Architectures for Near-Sensor Computing.

Parmar, Vivek; Penkovsky, Bogdan; Querlioz, Damien; Suri, Manan

Parmar, Vivek; Penkovsky, Bogdan; Querlioz, Damien; Suri, Manan.

Afiliación

Parmar V; Department of Electrical Engineering, Indian Institute of Technology Delhi, New Delhi, India.
Penkovsky B; Centre de Nanosciences et de Nanotechnologies, Université Paris-Saclay, CNRS, Palaiseau, France.
Querlioz D; Centre de Nanosciences et de Nanotechnologies, Université Paris-Saclay, CNRS, Palaiseau, France.
Suri M; Department of Electrical Engineering, Indian Institute of Technology Delhi, New Delhi, India.

Front Neurosci ; 15: 781786, 2021.

Article en En | MEDLINE | ID: mdl-35069101

Palabras clave

RRAM (resistive RAM); binarized neural network (BNN); in-memory computing (IMC); near-sensor computing; stochastic computing (SC)

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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Idioma: En Revista: Front Neurosci Año: 2021 Tipo del documento: Article País de afiliación: India

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