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European Journal of Scientific Research - EuroJournals

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Design Space Exploration <strong>of</strong> Regular NoC Architectures: A<br />

Multi-Objective Evolutionary Algorithm Approach 770<br />

Figure 10: Maximum Link Bandwidth and Energy comparisons for M-JPEG.<br />

Normalized Values<br />

1<br />

0.8<br />

0.6<br />

0.4<br />

0.2<br />

0<br />

MGA PBB MGAP<br />

Energy Max. Link<br />

Bandwidth<br />

Performance Matrices<br />

Figure 11: M-JPEG Encoder performance using NSGA-II.<br />

Figure 12: ‘Many-Many’ Vs ‘One-One’ performance comparison.<br />

8. Conclusion<br />

In this paper we have proposed a model for topological mapping <strong>of</strong> IPs/cores in a mesh-based NoC<br />

architecture with many- many mappings between core to switches. The approach uses heuristics based<br />

on multi-objective genetic algorithms (NSGA-II) to explore the mapping space and find the pareto<br />

mappings that optimize Maximum link bandwidth and performance and power consumption. The<br />

experiments carried out with randomly generated benchmarks and a real application (M-JPEG encoder<br />

system) confirms the efficiency, accuracy and scalability <strong>of</strong> the proposed approach. Future<br />

developments will mainly address the definition <strong>of</strong> more efficient genetic operators to improve the<br />

precision and convergence speed <strong>of</strong> the algorithm Evaluation will also be made <strong>of</strong> the possibility <strong>of</strong>

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