With Exascale systems on the horizon at the same time that conventional
von-Neumann architectures are suffering from rising power densities, we are
facing an era with power, energy-efficiency, and cooling as first-class
constraints for scalable HPC. FPGAs can tailor the hardware to the application,
avoiding overheads of general-purpose architectures. Leading FPGA manufacturers
have recently made a concerted effort to provide a range of higher-level,
easier to use, high level programming models for FPGAs, including the OpenCL
framework, which is already widely used by the HPC community for heterogeneous
computing. OpenCL is particularly appealing because it offers the potential for
portability to GPUs and Xeon Phi.