Generation and calibration of compositional performance analysis models for multi-processor systems

The performance analysis of heterogeneous multi-processor systems is becoming increasingly difficult due to the steadily growing complexity of software and hardware components. To cope with these increasing requirements, analytic methods have been proposed. The automatic generation of analytic system models that faithfully represent real system implementations has received relatively little attention, however. In this paper, an approach is presented in which an analytic system model is automatically generated from the same specification that is also used for system synthesis. Analytic methods for performance analysis of a system can thus be seamlessly integrated into the multi-processor design flow which lays a sound foundation for designing systems with a predictable performance.