A System Development Kit for Big Data Applications on FPGA-based Clusters: The EVEREST Approach
Serena Curzel
Assistant Professor
Serena Curzel earned her M.Sc. in Electronics Engineering (2019) and PhD cum laude in Information Technology (2023) from Politecnico di Milano. Her PhD focused on Deep Learning acceleration in collaboration with Pacific Northwest National Laboratory. She later worked as a postdoc on FPGA acceleration for Big Data and aerospace. Since August 2024, she is an Assistant Professor at DEIB, researching design automation and High-Performance Computing, and is part of the PandA group on HLS methodologies.
Gianluca Palermo
Full Professor
Gianluca Palermo received the M.Sc. degree in Electronic Engineering in 2002, and the Ph.D degree in Computer Engineering in 2006 from Politecnico di Milano. He is currently an associate professor at Department of Electronics and Information Technology in the same University. Previously he was also consultant engineer in the Low Power Design Group of AST – STMicroelectronics working on network on-chip and research assistant at the Advanced Learning and Research Institute (ALaRI) of the Università della Svizzera italiana (Switzerland). His research interests include design methodologies and architectures for embedded and HPC systems, focusing on AutoTuning aspects.