Proceedings of the 6th international workshop on Hardware/software codesign
A Network on Chip Architecture and Design Methodology
ISVLSI '02 Proceedings of the IEEE Computer Society Annual Symposium on VLSI
A Two-step Genetic Algorithm for Mapping Task Graphs to a Network on Chip Architecture
DSD '03 Proceedings of the Euromicro Symposium on Digital Systems Design
Bandwidth-Constrained Mapping of Cores onto NoC Architectures
Proceedings of the conference on Design, automation and test in Europe - Volume 2
Energy-aware mapping for tile-based NoC architectures under performance constraints
ASP-DAC '03 Proceedings of the 2003 Asia and South Pacific Design Automation Conference
A Multi-Objective Evolutionary Algorithm Based Optimization Model for Network-on-Chip Synthesis
ITNG '07 Proceedings of the International Conference on Information Technology
A fast and elitist multiobjective genetic algorithm: NSGA-II
IEEE Transactions on Evolutionary Computation
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Network-on-chip (NoC) are considered the next generation of communication infrastructure, which will be omnipresent in most of industry, office and personal electronic systems. In the platform-based methodology, an application is implemented by a set of collaborating intellectual properties (IPs) blocks. In this paper, we use multi-objective evolutionary optimization to address the problem of mapping topologically pre-selected sets IPs, which constitute the set of optimal solutions that were found for the IP assignment problem, on the tiles of a mesh-based NoC. The IP mapping optimization is driven by the area occupied, execution time and power consumption.