Embedded computing architectures, interconnection networks, test and reliability of neural network accelerators, system-level simulation of accelerators based on emerging technologies, silicon nanophotonic networks

Short description of the research team

Thematic fields of interest/research areas: Embedded computing architectures, interconnection networks, test and reliability of neural network accelerators, system-level simulation of accelerators based on emerging technologies, silicon nanophotonic networks

Manager/head of the team: Davide Bertozzi

Team members: Michele Favalli (Associate Prof.), Maddalena Nonato (Assistant Professor), Gaetano Bellanca (Associate Professor), Meriem Turki (PhD candidate), Veronesi Alessandro (PhD candidate), Rizzi Tommaso (PhD candidate)

Research infrastructures:

Virtual Prototyping Platform of Advanced Networks-on-Chip; FPGA Prototype of Neural Network Accelerator; Integrated Optics and Photonics Laboratory.

Prerequisites of the trainee researcher:

Level of education: PhD in Electrical Engineering and/or Computer Science and/or Computer Engineering

Research experience: Research experience in the field of digital system design and/or computer architecture and/or with emerging computing and interconnect technologies. Alternatively, research experience in the field of artificial intelligence with a strong interest toward hardware implementation, test and verification. Alternatively, experience in the field of computer-aided design. Custom projects will be defined based on the research experience.

Required working language: English 

Contacts: davide.bertozzi@unife.it

Further useful information: http://mpsoc.unife.it/~mpsocgroup/

Topics:

• Computer science and informatics
• Systems and Communication Engineering: Electrical, electronic, communication, optical and systems engineering