Accelerating applications by mapping critical kernels on coarse-grain reconfigurable hardware in hybrid systems

In this paper, we propose a method for speeding-up applications by partitioning them between the reconfigurable hardware blocks of different granularity and mapping critical parts of applications on the coarse-grain reconfigurable hardware. The partitioning method consists of four steps; the intermediate representation creation, the kernel identification, the mapping onto coarse-grain reconfigurable blocks, and the mapping onto the FPGA hardware. The method is validated using five real-world applications, where the speedup relative to an all-FPGA solution ranges from 1.4 to 3.1.