About the session
Cristina Silvano, Full Professor of Computer Science and Engineering, Politecnico di Milano, Italy
Hardware accelerators play a crucial role in accelerating Deep Learning on High Performance Computing systems and data centres, providing the computational power needed to process vast amounts of data and train complex models. With the growing demand to run Deep Learning models directly on edge devices -- such as embedded systems, mobile phones, and IoT smart devices, energy-efficient hardware solutions have become increasingly important. This talk explores hardware accelerators across the spectrum, from HPC systems to edge devices, highlighting their role to speed up Deep Learning workloads by reducing execution times and improving energy efficiency.
