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The authors propose a design optimization framework for adaptive real-time streaming applications. The main contribution is a hybrid approach for performance analysis combining formal analysis and simulation using a two-phase framework. They formulate the scheduling problem of adaptive streaming applications with ILP analysis, and use the simulation based on the synchronous model of computation to ensure throughput guarantees. The authors finally illustrate the capabilities of their methodology by experiments. Partially reconfigurable FPGAs allow to dynamically reprogram a part of the FPGA on the fly, while the rest continues its operation without being affected.
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