A Markovian Performance Model for Networks-on-Chip

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 last 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.