Tesi etd-11112020-172554
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Tipo di tesi
Corso Ordinario Secondo Livello
Autore
RIZZO, TOMMASO
URN
etd-11112020-172554
Titolo
A Time-Domain Vector-Matrix Multiplier for Analog DNNs based on Single-Poly Single-Transistor NVM Cells
Struttura
Cl. Sc. Sperimentali - Ingegneria
Corso di studi
INGEGNERIA - INGEGNERIA
Relatori
Tutor Prof. CIPRIANI, CHRISTIAN
Relatore Prof. IANNACCONE, GIUSEPPE
Relatore Prof. IANNACCONE, GIUSEPPE
Parole chiave
- analog menory
- CMOS
- DNNs
- IC design
- machine learning
- neural networks
- NVM
- VMM
Data inizio appello
15/12/2020;
Disponibilità
completa
Riassunto analitico
This thesis proposes a novel analog Vector-Matrix Multiplier (VMM), a dedicated hardware block highly specialized in performing vector-matrix multiplications, the most important operation in DNNs. In particular, the core of the thesis will focus on the definition of an innovative single-poly single-transistor analog memory, that will be exploited by the VMM block to perform fast and efficient operations, with the goal of area and energy consumption minimization.
File
| Nome file | Dimensione |
|---|---|
| thesis_SA.pdf | 5.94 Mb |
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