Caspian: A Tunable Performance Model for Multi-core Systems
Euro-Par '08 Proceedings of the 14th international Euro-Par conference on Parallel Processing
An analytical method for evaluating network-on-chip performance
Proceedings of the Conference on Design, Automation and Test in Europe
Power-performance analysis of networks-on-chip with arbitrary buffer allocation schemes
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems - Special section on the ACM IEEE international conference on formal methods and models for codesign (MEMOCODE) 2009
Static timing analysis for modeling QoS in networks-on-chip
Journal of Parallel and Distributed Computing
Optimal network architectures for minimizing average distance in k-ary n-dimensional mesh networks
NOCS '11 Proceedings of the Fifth ACM/IEEE International Symposium on Networks-on-Chip
Delay analysis of wormhole based heterogeneous NoC
NOCS '11 Proceedings of the Fifth ACM/IEEE International Symposium on Networks-on-Chip
Efficient genetic based topological mapping using analytical models for on-chip networks
Journal of Computer and System Sciences
Mathematical formalisms for performance evaluation of networks-on-chip
ACM Computing Surveys (CSUR)
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Network-on-Chip (NoC) has been proposed as a solution for addressing the design challenges of future high-performance nanoscale architectures. Thus, it is of crucial importance for a designer to have access to fast methods for evaluating the performance of on-chip networks. To this end, we present a Markovian model for evaluating the latency and energy consumption of on-chip networks. We compute the average delay due to path contention, virtual channel and crossbar switch arbitration using a queuing-based approach, which can capture the blocking phenomena of wormhole switching quite accurately. The model is then used to estimate the power consumption of all routers in NoCs. The performance results from the analytical models are validated with those obtained from a synthesizable VHDL-based cycle accurate simulator. Comparison with simulation results indicate that the proposed analytical model is quite accurate and can be used as an efficient design tool by SoC designers.