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A complexity effective communication model for behavioral modeling of signal processing applications

10 years 26 days ago
A complexity effective communication model for behavioral modeling of signal processing applications
In this paper, we argue that the address space of memory regions that participate in inter task communication is over-specified by the traditional communication models used in behavioral modeling, resulting in sub-optimal implementations. We propose shared messaging communication model and the associated channels for efficient inter task communication of high bandwidth data streams in behavioral models of signal processing applications. In shared messaging model, tasks communicate data through special memory regions whose address space is unspecified by the model without introducing non determinism. Address space to these regions can be assigned during mapping of application to specific architecture, by exploring feasible alternatives. We present experimental results to show that this flexibility reduces the complexity (e.g., communication latency, memory usage) of implementations significantly (up to an order of magnitude). Categories and Subject Descriptors
M. N. V. Satya Kiran, M. N. Jayram, Pradeep Rao, S
Added 13 Nov 2009
Updated 13 Nov 2009
Type Conference
Year 2003
Where DAC
Authors M. N. V. Satya Kiran, M. N. Jayram, Pradeep Rao, S. K. Nandy
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