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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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https://hal.archives-ouvertes.fr/hal-03207778
Contributor : Oumaima Matoussi Connect in order to contact the contributor
Submitted on : Monday, April 26, 2021 - 10:25:40 AM
Last modification on : Wednesday, April 28, 2021 - 3:08:11 AM
Long-term archiving on: : Tuesday, July 27, 2021 - 6:34:11 PM

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  • HAL Id : hal-03207778, version 1

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

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