Saeid Jamili

According to our database, Saeid Jamili authored at least 7 papers between 2021 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Automatic Hardware Accelerators Reconfiguration through LinearUCB Algorithms on a RISC-V Processor.

Marco Angioli, Marcello Barbirotta, Antonio Mastrandrea, Saeid Jamili, Mauro Olivieri

Proceedings of the 18th Conference on Ph.D Research in Microelectronics and Electronics, 2023

A Universal Hardware Emulator for Verification IPs on FPGA: A Novel and Low-Cost Approach.

Saeid Jamili, Antonio Mastrandrea, Abdallah Cheikh, Marcello Barbirotta, Francesco Menichelli, Marco Angioli, Mauro Olivieri

Proceedings of the Applications in Electronics Pervading Industry, Environment and Society, 2023

Heterogeneous Tightly-Coupled Dual Core Architecture Against Single Event Effects.

Marcello Barbirotta, Francesco Menichelli, Antonio Mastrandrea, Abdallah Cheikh, Marco Angioli, Saeid Jamili, Mauro Olivieri

Proceedings of the Applications in Electronics Pervading Industry, Environment and Society, 2023

Single Event Transient Reliability Analysis on a Fault-Tolerant RISC-V Microprocessor Design.

Marcello Barbirotta, Marco Angioli, Antonio Mastrandrea, Abdallah Cheikh, Saeid Jamili, Francesco Menichelli, Mauro Olivieri

Proceedings of the Applications in Electronics Pervading Industry, Environment and Society, 2023

2022

Implementation of Dynamic Acceleration Unit Exchange on a RISC-V Soft-Processor.

Saeid Jamili, Abdallah Cheikh, Antonio Mastrandrea, Marcello Barbirotta, Francesco Menichelli, Marco Angioli, Mauro Olivieri

Proceedings of the Applications in Electronics Pervading Industry, Environment and Society, 2022

Contextual Bandits Algorithms for Reconfigurable Hardware Accelerators.

Marco Angioli, Marcello Barbirotta, Abdallah Cheikh, Antonio Mastrandrea, Francesco Menichelli, Saeid Jamili, Mauro Olivieri

Proceedings of the Applications in Electronics Pervading Industry, Environment and Society, 2022

2021

L3DAS21 Challenge: Machine Learning for 3D Audio Signal Processing.

Eric Guizzo, Riccardo F. Gramaccioni, Saeid Jamili, Christian Marinoni, Edoardo Massaro, Claudia Medaglia, Giuseppe Nachira, Leonardo Nucciarelli, Ludovica Paglialunga, Marco Pennese, Sveva Pepe, Enrico Rocchi, Aurelio Uncini, Danilo Comminiello

Proceedings of the 2021 IEEE 31st International Workshop on Machine Learning for Signal Processing (MLSP), 2021