In the present thesis, it has been studied the possibility to insert FPGAs in the world of High Performance Computing (HPC) systems. Such systems are hybrid platforms that exploit the pure parallel computation of GPUs in order to reach very high performances. Nevertheless, GPU-based systems are power-hungry and require a power consumption so large, that running and maintaining such systems could be technologically and economically too much expensive. This thesis framework is inserted within the ExaNeSt EU founded project which has the purpose to prototype energy efficient solutions to produce exascale-level supercomputers. Low power consumption requirement is tried to be satisfied using a Multiprocessor System-on-Chip, namely a system mounting on the same package both a ARM x86 processor and an Ultrascale+ FPGA: the whole module has been specifically designed with special attention to power consumption.