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 …

When adopting multi-core systems for safety-critical applications, certification requirements
mandate bounding the delays incurred in accessing shared resources. This is the case of …

The interference co-running tasks generate on each other's timing behavior continues to be
one of the main challenges to be addressed before Multi-Processor System-on-Chip …

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 …

Nowadays, hypervisors are the standard solution to integrate different domains into a shared
hardware platform, while providing safety, security, and predictability. To this end, a …

Multi-tenancy is essential for unleashing SmartNIC's potential in datacenters. Our systematic
analysis in this work shows that existing on-path SmartNICs have resource multiplexing …

Abstract FPGA System-on-Chips (SoCs) are heterogeneous platforms that combine general-
purpose processors with a field-programmable gate array (FPGA) fabric. The FPGA fabric is …

Deep Neural Network (DNN) INFerence-as-a-Service (INFaaS) is the dominating workload
in current data centers, for which FPGAs become promising hardware platforms because of …