Modern Cyber Physical Systems (CPS) applications require hardware capable of optimized
performance-per-watt efficency. This is usually obtained through massively parallel …

In today's multiprocessor systems-on-a-chip (MP-SoC), the shared memory subsystem is a
known source of temporal interference. The problem causes logically independent cores to …

Ensuring real-time properties on current heterogeneous multiprocessor systems on a chip is
a challenging task. Furthermore, online artificial intelligent applications–which are routinely …

Unpredictable variation in execution times due to contention in shared hardware resources
in integrated CPU-GPU multicore platforms remains a major challenge for safety-critical real …

Nowadays, heterogeneous embedded platforms are extensively used in various low-latency
applications, including the automotive industry, real-time IoT systems, and automated …

In this paper, we study the effectiveness of denial-of-service (DoS) attacks on Intel's
heterogeneous multicore system-on-chips with integrated GPU (iGPU) in which the last level …

Autonomous vehicles are increasingly utilized in safety-critical and time-sensitive settings
like urban environments and competitive racing. Planning maneuvers ahead is pivotal in …

Like most high-end embedded systems, FPGA-based systems-on-chip (SoC) are
increasingly adopting heterogeneous designs, where CPU cores, the configurable logic and …

In today's multiprocessor systems-on-a-chip, the shared memory subsystem is a known
source of temporal interference. The problem causes logically independent cores to affect …

Reducing the execution time of ORB-SLAM algorithm is a crucial aspect of autonomous
vehicles since it is computationally intensive for embedded boards. We propose a parallel …