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We first measure memory usage and overhead of grid partition.
However, NS-2 does not scale well in terms of memory usage and simulation time [18].
We present the experimental results of both memory usage and execution time.
Mathematical analysis of memory usage and communication overhead are provided, predicting low-resource usage.
Subfigure (a) shows the Memory Usage, and in subfigure (b) shows the CPU Usage.
Here, we reveal tradeoffs of NeMo on persistence rate, memory usage, and complexity.
The model allows a tradeoff between memory usage and training time.
Then they also look at run-time, memory usage and code size.
It also displayed low memory usage and significantly lower running time than conventional fiber reduction schemes.
We also give worst-case performance bounds for computational complexity, memory usage, and communication load.
Second, the memory usage and the simulation precision of the proposed model are analyzed in detail.
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