Modern data centers increasingly rely on interconnects for delivering critical
communications connectivity among numerous servers, memory, and computation …

Reconfigurable optical networks have emerged as a promising technology to efficiently
serve the fast-growing traffic produced by the digital society. This paper provides a survey of …

We present a decade of evolution and production experience with Jupiter datacenter
network fabrics. In this period Jupiter has delivered 5x higher speed and capacity, 30 …

We present a system for training deep neural networks for object detection using synthetic
images. To handle the variability in real-world data, the system relies upon the technique of …

The increasing gap between the growth of datacenter traffic and electrical switch capacity is
expected to worsen due to the slowdown of Moore's law, motivating the need for a new …

Electrical switching based data center networks have an intrinsic bandwidth bottleneck and,
require inefficient and power-consuming multi-tier switching layers to cope with the rapid …

This paper proposes optical network interconnects as a key enabler for building high-
bandwidth ML training clusters with strong scaling properties. Our design, called SiP-ML …

Increasingly stringent throughput and latency requirements in datacenter networks demand
fast and accurate congestion control. We observe that the reaction time and accuracy of …

Datacenters need networks that support both low-latency and high-bandwidth packet
delivery to meet the stringent requirements of modern applications. We present Opera, a …

This Tutorial will discuss the motivation, benefits, and challenges of photonic switching in
data centers and cover prospects of future data centers involving emerging new …