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

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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.