Automatically translating a general purpose C++ image processing library for GPUs

— This paper presents work-in-progress towards a C++ source-to-source translator that automatically seeks parallelisable code fragments and replaces them with code for a graphics co-processor. We report on our experience with accelerating an industrial image processing library. To increase the effectiveness of our approach, we exploit some domain-specific knowledge of the library’s semantics. We outline the architecture of our translator and how it uses the ROSE source-to-source transformation library to overcome complexities in the C++ language. Techniques for parallel analysis and source transformation are presented in light of their uses in GPU code generation. We conclude with results from a performance evaluation of two examples, image blending and an erosion filter, hand-translated with our parallelisation techniques. We show that our approach has potential and explain some of the remaining challenges in building an effective tool.

• Type: Conference
• Year: 2006
• Where: IPPS
• Authors: Jay L. T. Cornwall, Olav Beckmann, Paul H. J. Kelly
• Keywords: C++ Source-to-source Translator, Distributed And Parallel Computing, IPPS 2006, Parallelisable Code Fragments, Source-to-source Transformation Library