Network Partitioning Domain Knowledge Multiobjective Application Mapping for Large-Scale Network-on-Chip

<table class="table-group" width="800px"><tr class="fig-image" id="a"><td><img alt="867612.fig.004a" src="https://static.hindawi.com/articles/acisc/volume-2014/867612/figures/867612.fig.004a.jpg"/></td></tr><tr class="fig-caption"><td align="center"><table><tr><td><b>(a) </b>DK crossover</td></tr></table></td></tr><tr class="fig-image" id="b"><td><img alt="867612.fig.004b" src="https://static.hindawi.com/articles/acisc/volume-2014/867612/figures/867612.fig.004b.jpg"/></td></tr><tr class="fig-caption"><td align="center"><table><tr><td><b>(b) </b>MS crossover</td></tr></table></td></tr><tr class="fig-image" id="c"><td><img alt="867612.fig.004c" src="https://static.hindawi.com/articles/acisc/volume-2014/867612/figures/867612.fig.004c.jpg"/></td></tr><tr class="fig-caption"><td align="center"><table><tr><td><b>(c) </b>PMX crossover</td></tr></table></td></tr></table>

<table>Pareto front by different crossover algorithms using 215-core benchmark. Different initial mapping and mutation combination are evaluated.</table>

Applied Computational Intelligence and Soft Computing

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Figure 4

Figure 4: Network Partitioning Domain Knowledge Multiobjective Application Mapping for Large-Scale Network-on-Chip 