Study of opencl processing models for FPGA devices

In our study, we present the results of the implementation of the SHA-512 algorithm in FPGAs. The distinguished element of our work is that we conducted the work using OpenCL for FPGA, which is a relatively new development method for reconfigurable logic. We examine loop unrolling as an OpenCL performance optimization method and compare the efficiency of the different kernel implementation types: NDRange, Single-Work Item, and SIMD kernels. In our conclusions, we compare the metrics of the created FPGA accelerator to the corresponding GPGPU solutions. Also, our paper is accompanied by a source code repository to allow the reader to follow and extend our survey.