Algorithmic Skeletons within an Embedded Domain Specific Language for the CELL Processor

Efficiently using the hardware capabilities of the Cell processor, a heterogeneous chip multiprocessor that uses several levels of parallelism to deliver high performance, and being able to reuse legacy code are real challenges for application developers. We propose to use Generative Programming and more precisely template meta-programming to design an domain specific embedded language using algorithmic skeletons to generate applications based on a high-level mapping description. The method is easy to use by developers and delivers performance close to the performance of optimized hand-written code, as shown on various benchmarks ranging from simple BLAS kernels to image processing applications.