Abstract | ||
---|---|---|
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. |
Year | DOI | Venue |
---|---|---|
2011 | 10.1145/1999946.1999979 | NOCS |
Keywords | Field | DocType |
future silicon technology,proposed embedding strategy,dynamic decentralized mapping,local view,centralized algorithm,neighboring cell,paper show,tree-structured application,embedding strategy,noc architecture,resource-aware mapping methodology,decentralized algorithm,embedded system,cost function,graph embedding,bandwidth,routing,self organization,fault tolerant,logic design,network on chip,tree structure,fault tolerance | Logic synthesis,Embedding,Graph embedding,Computer science,Network on a chip,Real-time computing,Computation,Distributed computing | Conference |
Citations | PageRank | References |
11 | 0.59 | 12 |
Authors | ||
3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Andreas Weichslgartner | 1 | 52 | 7.16 |
Stefan Wildermann | 2 | 156 | 26.00 |
Jürgen Teich | 3 | 2886 | 273.54 |