Call for Papers: High Performance Computing and Artificial Intelligence at the Edge

“The development of Internet of Things applications, complex applications that require a deep knowledge of several abstraction layers of computing systems, presents a whole set of new challenges in several areas of Computer Science ranging from software architectures, programming languages, data management, machine learning and artificial intelligence in general, large scale computing and formal methods. In between the Edge and the Cloud, IoT provides an unlimited number of opportunities for both Academics and Industry.” – Special Issue Editor, Professor Giorgio Delzanno.

High Performance Computing and Artificial Intelligence at the Edge

The convergence of Artificial Intelligence (AI) and Internet of Things (IoT) is one of the driving forces of the Digital Transformation of our society as shown by the increasing role of AI algorithms and tools to create value from the huge amounts of data collected by IoT devices and sensors.

In the past two decades data processing took place in supercomputing centers and in the cloud. The advent of 5G, with the consequent increase in volume and data speed, and the growing diffusion of neural accelerators is somehow inverting the trend, pushing computing power close to data sources. This is due to the increasing need to build smarter real-time applications for manufacturing, energy, automotive, aerospace, logistics, smart cities, healthcare, and computational sciences.

This trend is well supported at the hardware level – i.e. the new generation of powerful, less power-hungry System-on-a-Chip (SoC) devices – but not at the software level.

Addressing present and future challenges requires considerable efforts in code modernization (e.g. compliances with microservices architectures, integration of different types of AI algorithms, libraries and tools, deployment on different types of platforms such as GPU, NPU, etc) scaling the performance of the software running closer to data sources and enabling code migration between nodes operating on different architectures.

The special issue, led by Daniele D’Agostino (National Research Council of Italy) and Giorgio Delzanno (Professor of Computer Science, University of Genoa) aims to publish high quality papers presenting new research and applications in this area.

To find out more and submit your abstract, please visit:



You may also like...