It is well-known that today's computing platforms for the IoT big data server and network router infrastructure is highly energy-consuming. And scaling this to the exascale sizes and Tbps bandwidth handling, which are required for the future, looks implausible with incremental innovations. The exploding energy consumption in today's solutions is largely due to the requirement for maintaining a strong platform flexibility and programmability across a wide range of different tasks and services. But still, also some clear opportunities are emerging to reduce this energy compared to the state-of-the-art reference platforms of today.
In the literature many proposals have been launched to better customize the computing nodes themselves. But also the importance of the memory organization for the typically data-intensive application loads has been identified.
In this talk, the challenges to tackle this data memory organisation and some emerging opportunities are highlighted.
Francky Catthoor received a Ph.D. in EE from the Katholieke Univ. Leuven, Belgium in 1987. Between 1987 and 2000, he has headed several research domains in the area of synthesis techniques and architectural methodologies. Since 2000 he is strongly involved in other activities at IMEC including
deep submicron technology aspects, IoT and biomedical platforms, and smart photovoltaic modules, all at IMEC Leuven, Belgium. Currently he is an IMEC fellow. He is also part-time full professor at the EE department of the KULeuven. He has been associate editor for several IEEE and ACM journals. He was elected IEEE fellow in 2005.