Evaluation of runtime task mapping heuristics with rSesame - a case study

rSesame is a generic modeling and simulation framework which can explore and evaluate reconfigurable systems at the early design stages. The framework can be used to explore different HW/SW partitionings, task mappings and scheduling strategies at both design time and runtime. The framework strives for a high degree of flexibility, ease of use, fast performance and applicability. In this paper, we want to evaluate the framework´s characteristics by showing that it can easily and quickly model, simulate and compare a wide range of runtime mapping heuristics from various domains. A case study with a Motion-JPEG (MJPEG) application demonstrates that the presented model can be efficiently used to model and simulate a wide variety of mapping heuristics as well as to perform runtime exploration of various non-functional design parameters such as execution time, number of reconfigurations, area usage, etc.