The turn model for adaptive routing
Journal of the ACM (JACM)
Impact of selection functions on routing algorithm performance in multicomputer networks
ICS '97 Proceedings of the 11th international conference on Supercomputing
The Odd-Even Turn Model for Adaptive Routing
IEEE Transactions on Parallel and Distributed Systems
Route packets, not wires: on-chip inteconnection networks
Proceedings of the 38th annual Design Automation Conference
Performance tuning of adaptive wormhole routing through selection function choice
Journal of Parallel and Distributed Computing
On the Influence of the Selection Function on the Performance of Networks of Workstations
ISHPC '00 Proceedings of the Third International Symposium on High Performance Computing
DyAD: smart routing for networks-on-chip
Proceedings of the 41st annual Design Automation Conference
DyXY: a proximity congestion-aware deadlock-free dynamic routing method for network on chip
Proceedings of the 43rd annual Design Automation Conference
A Class of Partially Adaptive Routing Algorithms for n_dimensional Meshes
ICPP '93 Proceedings of the 1993 International Conference on Parallel Processing - Volume 03
Implementation and Analysis of a New Selection Strategy for Adaptive Routing in Networks-on-Chip
IEEE Transactions on Computers
Network-on-Chip routing algorithms by breaking cycles
ICA3PP'10 Proceedings of the 10th international conference on Algorithms and Architectures for Parallel Processing - Volume Part I
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The Odd-Even (OE) [5] routing strategy has greatly improved the degree of adaptiveness over other adaptive routing strategies. It depends on an efficient selection strategy to achieve the potential performance of the improved adaptiveness. Asica et al . [3] proposed a NoP selection strategy, which aims to make use of such adaptiveness. However, there exists deficiency when applying it with the Odd-Even routing algorithm. The adaptiveness could not be fully achieved because they ignored the turnable location restricted by the routing algorithm. In this paper, we improved the NoP selection strategy, termed Advanced NoP (ANoP), so that all paths from the source node to the destination node could be traversed evenly. Simulation results show that the ANoP could improve performance in the average packet latency up to 22% over the NoP averagely.