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ADC Design for Bit-serial Input Encoding in PCMBased Array Analog Hardware Accelerator

Faraz Kevin Parsa

ADC Design for Bit-serial Input Encoding in PCMBased Array Analog Hardware Accelerator.

Rel. Carlo Ricciardi, Liliana Prejbeanu, Lorena Anghel, Pritish Narayanan. Politecnico di Torino, Corso di laurea magistrale in Nanotechnologies For Icts (Nanotecnologie Per Le Ict), 2025

Abstract:

This work presents the design and simulation of a sensing circuit for an analog Phase Change Memory based Multiply and Accumulate Hardware accelerator, with a focus on current transfer linearity and sensitivity. The goal was to accurately transcribe the output current of the array into a voltage ready for digitization, while mitigating non-ideal effects such as channel length modulation and process variation. A two-stage current mirror architecture was developed: the first stage offers tunability to adapt the charging range, and the second stage, operating in a calibration context, corrects for process induced mirror mismatch. Simulation results confirm that this architecture improves sensitivity and reduces non-linearity (S2 < 1% for around 50% of the simulated cases), allowing for better utilization of the ADC dynamic range. The stacked transistors with different threshold voltage types (rvt/slvt) were also shown to significantly limit output voltage dependence. While promising, further modelling of mirror non-idealities is necessary for accurate full-chip prediction. This work contributes a crucial step towards reliable, high-accuracy analog-to-digital conversion in neuromorphic systems.

Relatori: Carlo Ricciardi, Liliana Prejbeanu, Lorena Anghel, Pritish Narayanan
Anno accademico: 2025/26
Tipo di pubblicazione: Elettronica
Numero di pagine: 4
Informazioni aggiuntive: Tesi secretata. Fulltext non presente
Soggetti:
Corso di laurea: Corso di laurea magistrale in Nanotechnologies For Icts (Nanotecnologie Per Le Ict)
Classe di laurea: Nuovo ordinamento > Laurea magistrale > LM-29 - INGEGNERIA ELETTRONICA
Aziende collaboratrici: IBM
URI: http://webthesis.biblio.polito.it/id/eprint/37885
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