NoC Performance Model for Efficient Network Latency Estimation

Autor: Oumaima Matoussi
Přispěvatelé: Commissariat à l'énergie atomique et aux énergies alternatives (CEA), Matoussi, Oumaima
Jazyk: angličtina
Rok vydání: 2021
Předmět:
Zdroj: DATE
DATE, Feb 2021, Grenoble (virtual), France
2021 Design, Automation & Test in Europe Conference & Exhibition (DATE)
Popis: International audience; 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.
Databáze: OpenAIRE