Clos networks have witnessed the successful deployment of RoCE in production data
centers. However, as DCN bandwidth keeps increasing, building Clos networks is becoming …

The increasing size and complexity of deep learning (DL) models have led to the wide
adoption of distributed training methods in datacenters (DCs) and high-performance …

Despite the bandwidth scaling limit of electrical switching and the high cost of building Clos
data center networks (DCNs), the adoption of optical DCNs is still limited. There are two …

Traffic Engineering (TE) is critical for improving network performance and reliability. A key
challenge in TE is the management of sudden traffic bursts. Existing TE schemes either do …

<? TeX 2pc 0pt?> Datacenter networks (DCNs) evolve over years and so comprise switches
from different generations. Thus, each stage/layer of the Clos fabric may consist of switches …

Interconnection networks are key components of high-performance computing (HPC)
systems. As HPC evolves towards the exascale era, providing sufficient bisection bandwidth …

The commoditization of machine learning is fuelling the demand for compute required to
both train large models and infer from them. At the same time, scaling the performance of …

A cascaded network represents a classic scaling-out model in traditional electrical switching
networks. Recent proposals have integrated optical circuit switching at specific tiers of these …

Traditional interconnection network design approaches focus on building general network
topologies by optimizing the bisection bandwidth or minimizing the network's diameter to …

We study how to reduce the reconfiguration time in hybrid optical-electrical Datacenter
Networks (DCNs). With a layer of Optical Circuit Switches (OCSes), hybrid optical-electrical …