DeepQueueNet in Practice: Quickly Achieve High‑Precision Network Simulation

This article walks through using DeepQueueNet—a deep‑learning‑enhanced network performance estimator—to set up a device model, train the PyTorch version, configure a fattree16 topology, and run multi‑GPU simulations that deliver minute‑level, packet‑accurate results in as little as 1 minute 27 seconds.

DeepQueueNetPyTorchdeep learning

0 likes · 6 min read

DeepQueueNet in Practice: Quickly Achieve High‑Precision Network Simulation

Network Intelligence Research Center (NIRC)

Aug 30, 2023 · Artificial Intelligence

DeepQueueNet: Scalable Network Performance Estimation with Packet‑Level Visibility

DeepQueueNet combines discrete‑event and continuous simulation with deep neural networks to deliver highly accurate, generalizable, and GPU‑scalable network performance estimates at packet‑level granularity, outperforming existing DNN‑based estimators across diverse topologies and traffic scenarios.

DESDNNDeepQueueNet

0 likes · 5 min read

DeepQueueNet: Scalable Network Performance Estimation with Packet‑Level Visibility