We present an automated temporal partitioning and design space exploratio metodology that temporally partitions behavior specifications. We propose block-processing in the temporal partitioning framework for reducing the reconfiguration overhead for partitinoed designs. Block-processing is a technique used traditionally in the area of parallel compilers, for increasing the computation speed by processing several inuts siumlaneously. Block-proessing technique has been integrated with task-level design space exploration to achieve designs that justify temporal partitioning of systems. An ILP-based metholology has been proposed to solve this problem. We present experimental results for the discrete cosine Transform(DCT).
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