NoC Performance Model for Efficient Network Latency Estimation
Abstract
We propose a flexible lightweight and parametric NoC model designed for fast performance estimation at early design stages. Our NoC model combines the benefits of both analytical and simulation-based NoC models. Our NoC features an abstract router model whose buffers are updated at runtime with information about the actual traffic. This traffic information is fed to a closed-form expression that computes packet latency and that accounts for network contention at a router basis. We evaluated our hybrid NoC model in terms of estimation accuracy and simulation speed. We compared the simulation results to the ones obtained with a cycle accurate NoC simulator called Garnet. Our NoC model achieves less than 17% error in average network latency estimation and attains up to 14× speedup for a 8×8 mesh.
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