Node to processor allocation for large grain data flow graphs in throughput-critical applications
This thesis describes the issues involved in node allocation for a Large Grain Data Flow (LGDF) model used in Navy signal processing applications. In the model studied, nodes are assigned to processors based on load balancing, communication/computation overlap, and memory module contention. Current...
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| Language: | en_US |
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Monterey, California. Naval Postgraduate School
2013
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| Online Access: | http://hdl.handle.net/10945/30831 |