NoC Performance Model for Efficient Network Latency Estimation

Oumaima Matoussi (1)

1 LECA - Laboratoire Environnement de Conception & Architecture

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.

Mots clés: NoC modeling and simulation; network contention; network latency estimation; on-chip interconnect

Domaines: Informatique [cs]

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