KBS-MAQAO: A Knowledge Based System for MAQAO Tool

The quest for performance leads to an ever increasing processor complexity. Symmetrically compilers are following the same trend with deeper optimization chain involving a numerous set of techniques. As a result code performance is becoming more and more complex to guarantee, it is sensitive to butterfly effects and difficult to assess without extensive tuning and experiments. Currently, an array of tools is used to handle the performance tuning. Consequently, tuning is a time consuming task, burdensome with a poor productivity. Therefore, a modern approach is much needed, to address the complexity of the task in order to support the multidimensional aspect of performance and federate existing methods. We propose a new approach which is Knowledge Based System for MAQAO kernel (KBS-MAQAO). It represents case specific and general optimization techniques knowledge of an expert, stores the information about the application tested, the information about compiler used (successful/failed optimizations, compiler characteristics).