摘要：The power consumption problem represents one of the major obstacles for exascale systems design. As aconsequence, the scientific community is searching for different ways to improve power efficiency of High-Performance Computing (HPC) systems [1]. One recent trend to increase compute power and, at the same time,limit power consumption of these systems lies in adding accelerators and co-processors, like NVIDIA/AMDgraphic processing units (GPU) or Intel Xeon Phi co-processors. On the other hand, field programmable gatearrays (FPGA) stands as a promissory alternative due to their increasing computational capability, low powerconsumption and the development of new tools that reduce programming cost. These hybrid systems that usedifferent processing resources are called heterogeneous systems and area capable of achieving betterFLOPS/Watt ratios
