Platform‐independent Description of Imaging Algorithms

Abstract

In the last years real-time imaging and more complex models for the various imaging applications became feasible mostly because of the progress made in parallel computer architectures like found in GPUs and modern multi-core CPUs. However, the implementation effort increases, if one wants to achieve good performance. A solution to this problem is to formulate the imaging algorithms in an abstract way in a domain-specific language (DSL) and then automatically generate efficient C++ or CUDA code. A multi-layered approach is sketched that allows users to describe applications in a natural way from the mathematical model down to the program specification.