A Drift-Resilient Hardware Implementation of Neural Accelerators Based on Phase Change Memory Devices
(se abrirá en una nueva ventana)
Autores:
I. Muñoz-Martín, S. Bianchi, O. Melnic, A. G. Bonfanti, D. Ielmini
Publicado en:
IEEE Transactions on Electron Devices, 2021, ISSN 0018-9383
Editor:
Institute of Electrical and Electronics Engineers
DOI:
10.1109/ted.2021.3118996
A Spiking Recurrent Neural Network With Phase-Change Memory Neurons and Synapses for the Accelerated Solution of Constraint Satisfaction Problems
(se abrirá en una nueva ventana)
Autores:
Giacomo Pedretti, Piergiulio Mannocci, Shahin Hashemkhani, Valerio Milo, Octavian Melnic, Elisabetta Chicca, Daniele Ielmini
Publicado en:
IEEE Journal on Exploratory Solid-State Computational Devices and Circuits, Edición 6/1, 2020, Página(s) 89-97, ISSN 2329-9231
Editor:
IEEE
DOI:
10.1109/jxcdc.2020.2992691
Redundancy and Analog Slicing for Precise In-Memory Machine Learning—Part II: Applications and Benchmark
(se abrirá en una nueva ventana)
Autores:
Pedretti, G.; Mannocci, P.; Li, C.; Sun, Z.; Strachan, J. P.; Ielmini, D.
Publicado en:
Crossref, Edición 1, 2021, ISSN 0018-9383
Editor:
Institute of Electrical and Electronics Engineers
DOI:
10.1109/ted.2021.3095430
A Universal, Analog, In-Memory Computing Primitive for Linear Algebra Using Memristors
(se abrirá en una nueva ventana)
Autores:
P. Mannocci, G. Pedretti, E. Giannone, E. Melacarne, Z. Sun, D. Ielmini
Publicado en:
IEEE Transactions on Circuits and Systems I: Regular Papers, 2021, ISSN 1549-8328
Editor:
Institute of Electrical and Electronics Engineers
DOI:
10.1109/tcsi.2021.3122278
Time Complexity of In-Memory Solution of Linear Systems
(se abrirá en una nueva ventana)
Autores:
Zhong Sun, Giacomo Pedretti, Piergiulio Mannocci, Elia Ambrosi, Alessandro Bricalli, Daniele Ielmini
Publicado en:
IEEE Transactions on Electron Devices, Edición 67/7, 2020, Página(s) 2945-2951, ISSN 0018-9383
Editor:
Institute of Electrical and Electronics Engineers
DOI:
10.1109/ted.2020.2992435
Redundancy and Analog Slicing for Precise In-Memory Machine Learning—Part I: Programming Techniques
(se abrirá en una nueva ventana)
Autores:
Pedretti, G.; Mannocci, P.; Li, C.; Sun, Z.; Strachan, J. P.; Ielmini, D.
Publicado en:
Crossref, Edición 2, 2021, ISSN 0018-9383
Editor:
Institute of Electrical and Electronics Engineers
DOI:
10.1109/ted.2021.3095433
