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 …

This survey reviews the scientific literature on techniques for reducing interference in real-
time multicore systems, focusing on the approaches proposed between 2015 and 2020. It …

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

Motivated by the increasing number of embedded applications that make use of traffic‐
intensive I/O devices, this work studies the memory contention generated by I/O devices and …

FPGA-based system-on-chips (SoC) are powerful computing platforms to implement mixed-
criticality systems that require both multiprocessing and hardware acceleration …

Modern systems on a chip (SoCs) utilize heterogeneous architectures where multiple IP
cores have concurrent access to on-chip shared resources. In security-critical applications …

This work focuses on the time-predictable execution of Deep Neural Networks (DNNs)
accelerated on FPGA System-on-Chips (SoCs). The modern DPU accelerator by Xilinx is …

In modern real-time heterogeneous System-on-Chips (SoCs), ensuring the predictability of
interconnects is becoming increasingly important. Most of the existing interconnects are …

System-on-chip (SoC) architectures are a heterogeneous mix of microprocessors, custom
accelerators, memories, interfaces, peripherals, and other resources. These resources …

All systems rely on inputs and outputs (I/Os) to perceive and interact with their surroundings.
In safety-critical systems, it is important to guarantee both the performance and time …