Optimized composition of performance-aware parallel components

We describe the principles of a novel framework for performanceaware composition of sequential and explicitly parallel software components with implementation variants. Automatic composition results in a table-driven implementation that, for each parallel call of a performance-aware component, looks up the expected best implementation variant, processor allocation and schedule given the current problem and processor group sizes. The dispatch tables are computed off-line at component deployment time by interleaved dynamic programming algorithm from time-prediction metacode provided by the component supplier.