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

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

Deep learning is revolutionizing many aspects of our society, addressing a wide variety of
decision-making tasks, from image classification to autonomous vehicle control. Matrix …

We propose a universal and analytic step-by-step method to calculate the optimal 90° and
180° waveguide bends (L-bends and U-bends) in silicon-on-insulator photonics platform …

A detailed analysis of fundamental tradeoffs between ring radius and coupling gap size is
presented to draw realistic borders of the possible design space for microring resonators …

Large-scale high performance computing is permeating nearly every corner of modern
applications spanning from scientific research and business operations, to medical …

Silicon photonic microring resonators (MRRs) offer many advantages (eg, compactness)
and are often considered as the fundamental building block in optical interconnects and …

The Dragonfly topology provides low-diameter connectivity for high-performance computing
with all-to-all global links at the inter-group level. Our traffic matrix characterization of various …

Heating elements are used to tune the optical properties of silicon photonic devices, to
stabilize operating temperatures, and to compensate for fabrication variations. In this paper …

Compared to electronic accelerators, integrated silicon-photonic neural networks (SP-NNs)
promise higher speed and energy efficiency for emerging artificial-intelligence applications …