Compilation techniques for multimedia processors
International Journal of Parallel Programming - Special issue on instruction-level parallelism and parallelizing compilation, Part 1
Proceedings of the ACM SIGGRAPH/EUROGRAPHICS conference on Graphics hardware
High Performance Compilers for Parallel Computing
High Performance Compilers for Parallel Computing
Array recovery and high-level transformations for DSP applications
ACM Transactions on Embedded Computing Systems (TECS)
Brook for GPUs: stream computing on graphics hardware
ACM SIGGRAPH 2004 Papers
Automatic parallelization for graphics processing units
PPPJ '09 Proceedings of the 7th International Conference on Principles and Practice of Programming in Java
Parallel execution of Java loops on Graphics Processing Units
Science of Computer Programming
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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.