Proceedings of the 6th international workshop on Hardware/software codesign
Performance Guarantees for Hierarchical Clustering
COLT '02 Proceedings of the 15th Annual Conference on Computational Learning Theory
Cost considerations in network on chip
Integration, the VLSI Journal - Special issue: Networks on chip and reconfigurable fabrics
A fast k-means implementation using coresets
Proceedings of the twenty-second annual symposium on Computational geometry
Heuristics for Dynamic Task Mapping in NoC-based Heterogeneous MPSoCs
RSP '07 Proceedings of the 18th IEEE/IFIP International Workshop on Rapid System Prototyping
ADAM: run-time agent-based distributed application mapping for on-chip communication
Proceedings of the 45th annual Design Automation Conference
Dynamic task allocation strategies in MPSoC for soft real-time applications
Proceedings of the conference on Design, automation and test in Europe
FCST '09 Proceedings of the 2009 Fourth International Conference on Frontier of Computer Science and Technology
Run-time task allocation considering user behavior in embedded multiprocessor networks-on-chip
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
Energy- and Performance-Aware Incremental Mapping for Networks on Chip With Multiple Voltage Levels
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
Fast architecture evaluation of heterogeneous MPSoCs by host-compiled simulation
Proceedings of the 15th International Workshop on Software and Compilers for Embedded Systems
A survey on application mapping strategies for Network-on-Chip design
Journal of Systems Architecture: the EUROMICRO Journal
Power-aware dynamic mapping heuristics for NoC-based MPSoCs using a unified model-based approach
ACM Transactions on Embedded Computing Systems (TECS)
Smart hill climbing for agile dynamic mapping in many-core systems
Proceedings of the 50th Annual Design Automation Conference
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This paper presents a novel application-driven and resource-aware mapping methodology for tree-structured streaming applications onto NoCs. This includes strategies for mapping the source of streaming applications (seed point selection), as well as embedding strategies so that each process autonomously embeds its own succeeding tasks. The proposed embedding strategies only consider the local view of neighboring cells on the NoC which allows to significantly reduce computation and monitoring overhead. Our vision is that this approach facilitates self-organizing embedded systems that provide the flexibility and fault-tolerance required in future silicon technologies. The results provided in this paper show that our local and decentralized algorithms can compete with previously presented global and centralized algorithms.