High-performance systems are increasingly bottlenecked by the growing energy and
communications costs of interconnecting numerous compute and memory resources …

We review the motivation, goals, and achievements of the Photonic Integrated Networked
Energy efficient datacenter (PINE) project, which is part of the Advanced Research Projects …

While the Fat-Tree network topology represents the dominant state-of-art solution for large-
scale HPC networks, its scalability in terms of power, latency, complexity, and cost is …

The scaling trends of deep learning models and distributed training workloads are
challenging network capacities in today's datacenters and high-performance computing …

We propose a novel high performance computing (HPC) network architecture based on
parallel levels distributed low radix fast optical switches (FOS). We provide a detailed …

We demonstrate SiP switch-enabled server regrouping using bandwidth steering for
performance improvement in distributed deep learning training in a Fat-tree testbed. Our …

The explosive growth in data analytics is driving an intensely growing need for compute
performance. We will review our ARPA-E PINE ENLITENED experimental testbed and …

This paper presents the integration of multiple silicon photonic (SiP) switches within a high-
performance computing environment to enable network reconfigurability in order to achieve …

This paper summarizes our recent studies on architecture, photonic integration, system
validation and networking performance analysis of a flexible low-latency interconnect optical …

With the immense growth of data consumption in today's data centers and high-performance
computing systems driven by the constant influx of new applications, the network …