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There are other design techniques that can help reduce the required memory such as, small packet sizes and additional parallelization. In the former case, the small packet size will allow a reduction in the queue length since the maximum size of the queue required for operation of the graph is usually a multiple of the packet size. Reducing the packet size reduces the maximum queue size required. Adding more paths through the graph as a result of additional parallelization of the graph will decrease the time it takes the total graph to execute thus cutting down the data that must be stored in the graph to complete a full cycle of the graph execution. Parallelization will reduce the data storage and sizes of the queues in the graph.
Next: 6 Queue Data Structures
Up: Appnotes Index
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