Steady-state simulation of queueing processes: survey of problems and solutions
ACM Computing Surveys (CSUR)
Analytical Modeling of Wormhole-Routed k-Ary n-Cubes in the Presence of Hot-Spot Traffic
IEEE Transactions on Computers
Interconnection Networks: An Engineering Approach
Interconnection Networks: An Engineering Approach
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
Queueing Networks and Markov Chains
Queueing Networks and Markov Chains
A universal performance factor for multi-criteria evaluation of multistage interconnection networks
Future Generation Computer Systems - Systems performance analysis and evaluation
A Markovian Performance Model for Networks-on-Chip
PDP '08 Proceedings of the 16th Euromicro Conference on Parallel, Distributed and Network-Based Processing (PDP 2008)
PERMAP: A performance-aware mapping for application-specific SoCs
ASAP '08 Proceedings of the 2008 International Conference on Application-Specific Systems, Architectures and Processors
System-Level Buffer Allocation for Application-Specific Networks-on-Chip Router Design
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
Mathematical formalisms for performance evaluation of networks-on-chip
ACM Computing Surveys (CSUR)
An analytical latency model for networks-on-chip
IEEE Transactions on Very Large Scale Integration (VLSI) Systems
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Performance evaluation is an important engineering tool that provides valuable feedback on design choices in the implementation of multi-core systems such as parallel systems, multicomputers, and Systems-on-Chip (SoCs). The significant advantage of analytical models over simulation is that they can be used to obtain performance results for large systems under different configurations and working conditions which may not be feasible to study using simulation on conventional computers due to the excessive computation demands. We present Caspian, a novel analytic performance model, aimed to minimize prediction cost, while providing prediction accuracy. This is accomplished by using a G/G/1 priority queueing model which is used for arbitrary network topology with wormhole routing under arbitrary traffic pattern. The accuracy of this model is examined through extensive simulation results.