As sensors operating at the edge continue to evolve, the amount of data that edge devices
need to process is increasing. Cloud computing methods have been proposed to process …

Field-programmable gate array (FPGA) is an ideal candidate for accelerating graph neural
networks (GNNs). However, FPGA reconfiguration is a time-consuming process when …

For several new applications, FPGA-based computation has shown better latency and
energy efficiency compared to CPU or GPU-based solutions. We note two clear trends in …

Some field programmable gate arrays (FPGAs) can be partially dynamically reconfigurable
with heterogeneous resources distributed on the chip. FPGA-based partially dynamically …

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 …

Commercial-off-the-shelf (COTS) Field Programmable Gate Array (FPGA) systems-on-chip
(SoCs) are flexible platforms combining a Processing System (PS) featuring high …

Computing platforms for next-generation cyber–physical systems are evolving towards
heterogeneous architectures comprising different processing elements and hardware …

Trading off performance metrics in control design for position tracking is unavoidable. This
has severe consequences in mission-critical systems such as quadcopter applications. The …

The dynamic partial reconfiguration (DPR) feature offered by modern FPGAs provides the
flexibility of adapting the underlying hardware according to the needs of a particular situation …

Cloud companies have been exploiting CPU-FPGA collaborative environments to accel
erate multi-tenant task requests with scalability and maximize resource utilization. In this …