Study of RRAM-Based Binarized Neural Networks Inference Accelerators Using an RRAM Physics-Based Compact Model.

Spoke: Spoke 6
Ambito: Ecological transition based on HPC & data technology

Titolo: “Study of RRAM-Based Binarized Neural Networks Inference Accelerators Using an RRAM Physics-Based Compact Model.”
Autori: Tommaso Zanotti, Paolo Pavan, Francesco Maria Puglisi.

Nome Rivista o serie: Neuromorphic Computing
Editore: Intechopen
Accessibilità: Open access, Creative Commons
Attribution 4.0 licence.

Leggi qui: doi.org/10.5772/intechopen.110340