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The document summarizes research on task scheduling techniques for dynamically reconfigurable systems. It presents (1) an integer linear programming model to formally define the scheduling problem, (2) the Napoleon heuristic scheduler to solve the problem in reasonable time based on the ILP model, and (3) experimental results validating that Napoleon obtains an average 18.6% better schedule length than other algorithms. Future work is outlined to integrate Napoleon into a general design framework and scheduling-aware partitioning flow.















