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RASSP Data Flow Graph Design Application Note

9.0 Conclusions

The current state of the art of the graphical signal processing code design has progressed from a concept to a practical methodology that includes procedures as well as tools to implement the complete design process. However, it is still incumbent upon the intelligent designer to use the specialized Data Flow graph technology to create graphs that result in code that is efficient and uses minimum memory for the target DSPs. This code now meets the throughput and latency requirements in addition to functionally implementing the signal processing algorithm. Automatic parallelization, memory management and processor allocation tools have not yet been developed to a mature state so they can be used routinely to perform this task. These operations are still in the hands of the designer and in this paper we presented techniques and examples so that we may accomplish these operations for a DF graph.

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Approved for Public Release; Distribution Unlimited Dennis Basara