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Conference Papers Year : 2021

NoC Performance Model for Efficient Network Latency Estimation


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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hal-03207778 , version 1 (26-04-2021)


  • HAL Id : hal-03207778 , version 1


Oumaima Matoussi. NoC Performance Model for Efficient Network Latency Estimation. DATE, Feb 2021, Grenoble (virtual), France. ⟨hal-03207778⟩


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