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List of theses with "Valpreda, Emanuele as relator"

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Number of items: 8.

17 December 2021

Pasquale Santoro. Implementation of a CNN hardware accelerator based on a reconfigurable spatial array. Rel. Maurizio Martina, Guido Masera, Emanuele Valpreda. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Elettronica (Electronic Engineering), 2021

13 April 2022

Jurgen Dalipaj. Automated Inter-Layer scheduling of Convolutional Neural Networks on a reconfigurable accelerator. Rel. Maurizio Martina, Guido Masera, Emanuele Valpreda. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Elettronica (Electronic Engineering), 2022

28 October 2022

Giuseppe Palumbo. Detection and Recovery of Errors in Object Detection with Faulty Convolutional Neural Network. Rel. Maurizio Martina, Guido Masera, Emanuele Valpreda, Claudio Passerone, Pierpaolo Mori'. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Elettronica (Electronic Engineering), 2022

21 April 2023

Flavia Guella. HERMIONE: a Co-design Methodology for Layer-wise Approximation of Neural Networks on RISC-V. Rel. Maurizio Martina, Guido Masera, Emanuele Valpreda, Michele Caon. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Elettronica (Electronic Engineering), 2023

[img] Giovanni Pollo. Resilience analysis of FPGA-based Dataflow accelerators. Rel. Claudio Passerone, Maurizio Martina, Pierpaolo Mori', Emanuele Valpreda. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Informatica (Computer Engineering), 2023

[img] Alessandra Vignoli. WinoAdapt: End-to-End Winograd-based FPGA accelerator for Quantized Convolutional Neural Networks. Rel. Maurizio Martina, Claudio Passerone, Guido Masera, Pierpaolo Mori', Emanuele Valpreda. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Elettronica (Electronic Engineering), 2023

15 December 2023

Massimo Emiliano. Design of a Spatial Array with Run-Time Reconfigurable Approximate Processing Engines. Rel. Guido Masera, Emanuele Valpreda, Maurizio Martina, Flavia Guella. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Elettronica (Electronic Engineering), 2023

31 October 2024

Alessio Caviglia. Lightweight Vector Extension for Efficient Neural Network Inference on RISC-V. Rel. Maurizio Martina, Guido Masera, Michele Caon, Emanuele Valpreda, Flavia Guella. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Informatica (Computer Engineering), 2024

This list was generated on Sat Dec 7 19:59:28 2024 CET.