The turn model for adaptive routing
ISCA '92 Proceedings of the 19th annual international symposium on Computer architecture
A comprehensive analytical model for wormhole routing in multicomputer systems
Journal of Parallel and Distributed Computing
Planar-adaptive routing: low-cost adaptive networks for multiprocessors
Journal of the ACM (JACM)
A Cost and Speed Model for k-ary n-Cube Wormhole Routers
IEEE Transactions on Parallel and Distributed Systems
A Performance Model for Duato's Fully Adaptive Routing Algorithm in k$k$-Ary n$n$-Cubes
IEEE Transactions on Computers
An Analytical Model of Adaptive Wormhole Routing in Hypercubes in the Presence of Hot Spot Traffic
IEEE Transactions on Parallel and Distributed Systems
Interconnection Networks: An Engineering Approach
Interconnection Networks: An Engineering Approach
IEEE Transactions on Parallel and Distributed Systems
An Accurate Model for the Performance Analysis of Deterministic Wormhole Routing
IPPS '97 Proceedings of the 11th International Symposium on Parallel Processing
Analysis of k-ary n-cubes with dimension-ordered routing
Future Generation Computer Systems - Selected papers from CCGRID 2002
Performance Modeling of Fully Adaptive Wormhole Routing in 2-D Mesh-Connected Multiprocessors
MASCOTS '04 Proceedings of the The IEEE Computer Society's 12th Annual International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunications Systems
A low-overhead and reliable switch architecture for Network-on-Chips
Integration, the VLSI Journal
Mathematical and Computer Modelling: An International Journal
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Although several analytical models have been proposed in the literature for different interconnection networks with different routing algorithms, there is only one work dealing with partially adaptive routing algorithms. This paper proposes an accurate analytical model to predict message latency in wormhole-routed hypercube based networks using the partially adaptive routing algorithm. The results obtained from simulation experiments confirm that the proposed model exhibits a good accuracy for various network sizes and under different operating conditions.