Heterogeneous Embedded Neural Processing Units Utilizing PCM-Based Analog In-Memory Computing

I. Boybat,T. Boesch, M. Allegra,M. Baldo, J.J. Bertolini-Agnoletto,G. W. Burr, A. Buschini,A. Cabrini,E. Calvetti, C. Cappetta, F. Conti, E. Ferro,E. Franchi Scarselli, A. Garofalo, F. Girardi, G. Islamoglu,V. P. Jonnalagadda,G. Karunaratne, C. Lammie,M. Le Gallo, C. Li, R. Massa, A. C. Ornstein, H. Pang,M. Pasotti, B. Rajendran,A. Redaelli, I. Sanli, W. A. Simon, A. Singh, S.-P. Singh,G. Urlini,A. Vasilopoulos,R. Zurla,G. Desoli,A. Sebastian

2024 IEEE International Electron Devices Meeting (IEDM)（2024）

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Key words

Processing Unit,Computational Memory,Neural Units,Analog In-memory Computing,Neural Network,Energy Efficiency,Matrix Multiplication,Datapath,F1 Score,Model Weights,Non-volatile Memory,Memory Array,Digital Unit

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