Halide and GENESIS for Generating Domain-Specific Architecture of Guided Image Filtering

Abstract

Halide is a domain-specific language for image processing on CPUs and GPUs. The language is powerful for image processing with deep pipeline, e.g., guided image filtering. The guided image filtering is utilized for various applications. Some papers implement the filter on hardware; however, the implementing hardware and the purposes are different. Hardware implementation is hard; therefore, compiler supports are necessary. We utilize Halide with extended FPGA backend, called GENESIS. In our experiment, Halide code with CPU/FPGA backend is faster than the optimized C++. Also, the code length of the C++ and Halide for CPU/FPGA is 575, 141, 139 lines, respectively.