An integrated partitioning and synthesis technique for dynamically reconfigurable systems

This paper presents a graph-based algorithmic model that allows the tasks of high-level synthesis dynamically reconfigurable systems to be specified as an optimization problem. Furthermore, we solve the optimization problem through a genetic algorithm, which performs temporal partitioning, module allocation and scheduling simultaneously for maximizing resource usage and minimizing reconfiguration overhead