In response to innovations in machine learning (ML) models, production workloads changed
radically and rapidly. TPU v4 is the fifth Google domain specific architecture (DSA) and its …

Forthcoming capacity scaling requirements of optical networks and advances in optical fiber
communications beyond the omnipresent single-mode fiber operating over the conventional …

We describe our experience developing what we believe to be the world's first large-scale
production deployments of lightwave fabrics used for both datacenter networking and …

In response to growing demands on data traffic, silicon (Si) photonics has emerged as a
promising technology for ultra-high-speed and low-cost optical interconnects. However …

We describe our experience building and deploying a demand-oblivious optically-switched
network based on the RotorNet and Opera architectures. We detail the design, manufacture …

Reflecting the recent slow-down in Moore's law and the proliferation of artificial
intelligence/machine learning workloads, the performance and energy consumption of …

The scalability of many programmable photonic circuits is limited by the $2\pi $ tuning range
needed for the constituent phase shifters. To address this problem, we introduce the concept …

The accelerated growth of data traffic in data centers (DCs) globally is driven by the
dominance of multiple emerging data-intensive applications hosted by edge/cloud DCs …

Over the past decade, machine learning model complexity has grown at an extraordinary
rate, as has the scale of the systems training such large models. However, there is an …

The ongoing growth of data traffic from existing and new latency-sensitive applications
poses a challenge to the data center network. Wavelength-routed optical circuit switching …