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In this work we evaluate the potential of FPGAs for accelerating HPC workloads as a more power-efficient alternative to GPUs. Using High-Level Synthesis and a large set of optimization techniques, we show that FPGAs can achieve better performance than CPUs, and better power efficiency than both CPUs and GPUs for typical HPC workloads. Furthermore, we show that for the specific case of stencil computation, the unique architectural advantages of FPGAs allow them to surpass high-end CPU, Xeon PhiarXiv:1810.09773v4 fatcat:ziz6dhguxfdntjkorvxopkxp44