Real-time computing plays a crucial role in our society since an increasing number of
complex systems rely, in part or completely, on computer control. Examples of applications …

Hardware accelerators, such as those based on GPUs and FPGAs, offer an excellent
opportunity to efficiently parallelize functionalities. Recently, modern embedded platforms …

The proliferation of multi-core, accelerator-enabled embedded systems has introduced new
opportunities to consolidate real-time systems of increasing complexity. But the road to build …

The increase of size, capabilities, and speed of FPGAs enables the shared usage of
reconfigurable resources by multiple applications and even operating systems. While …

This paper presents SPHERE, a project aimed at the realization of an integrated framework
to abstract the hardware complexity of interconnected, modern system-on-chips (SoC) and …

Modern FPGA System-on-Chips (SoCs) embed large FPGA logics capable of hosting
multiple hardware accelerators. Typically, hardware accelerators require direct access to the …

The excellent performance of deep neural networks and machine learning algorithms is
pushing the industry to adopt such a technology in several application domains, including …

Digitally controlled switch-mode power conversion systems require an embedded
computing platform to execute, in real-time (RT), closed-loop algorithms that regulate the …

Despite its presence for more than two decades and its proven benefits in expanding the
space of system design, dynamic partial reconfiguration (DPR) is rarely integrated into …

Many recent computing platforms combine CPUs with different types of accelerators such as
Graphical Processing Units (GPUs), to cope with the increasing computation needs of …