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The dynamic nature of state-of-the-art multicore signal processing systems limits the ability of designers to derive accurate models for the targeted applications. Inaccurate assumptions in the model can lead to inefficient implementations and restrict the runtime re-configuration of these systems. On the other hand, dataflow models have provided powerful techniques to analyze and explore the design...
The complex design spaces associated with state-of-the-art, multicore signal processing systems pose significant challenges in realizing designs with high productivity and quality. The Partial Expansion Graph (PEG) implementation model was developed to help address these challenges by enabling more efficient exploration of the scheduling design space for multicore digital signal processors. The PEG...
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