PULP: A Multi-Core Platform for Micropower In-Sensor
Content of the lecture:
The “internet of everything” envisions trillions of connected objects loaded with high-bandwidth sensors requiring massive amounts of local signal processing, fusion, pattern extraction and classification. From the computational viewpoint, the challenge is formidable and can be addressed only by pushing computing fabrics toward massive parallelism and tunable-precisions, achieving brain-like energy efficiency levels. In this talk, I will describe the evolution of the open source Parallel-Ultra-Low-Power (PULP) platform and tackle the main challenges for next generation mW-range energy efficient computing systems.
Teacher: Dr. Davide Rossi
Davide Rossi, received the PhD from the University of Bologna, Italy, in 2012. He has been a post doc researcher in the Department of Electrical, Electronic and Information Engineering “Guglielmo Marconi” at the University of Bologna since 2015, where he currently holds an assistant professor position. His research interests focus on energy efficient digital architectures in the domain of heterogeneous and reconfigurable multi and many-core systems on a chip. This includes architectures, design implementation strategies, and runtime support to address performance, energy efficiency, and reliability issues of both high end embedded platforms and ultra-low-power computing platforms targeting the IoT domain. In these fields, he has published more than 80 paper in international peer-reviewed conferences and journals.