Research Projects

AIM Datacom

The AIM Datacom project is a joint effort between our group and researchers at UCSB that aims at driving low cost and energy efficient designs that enable next generation data center network architectures

AIM Test, Assembly and Packaging (TAP)

The AIM Test Project seeks to develop cutting-edge testing solutions for the field of silicon photonics. The focus is the implementation of an automated, switch-centered testing approach for chip, wafer and package-level photonic devices. To this end, the Testing team at the Lightwave Research Laboratory has constructed software framework for controlling automated functional test tools (Prober Control), designed and verified a new approach for wafer-scale optical probing, and developed innovative photonic component measurement strategies.


This project focuses on development of high performance computing related models and network simulations, and to expand our in-house simulation engine, PhoenixSim, to support the automation and configuration of SST simulation scripts with graphic user interface.  

Optically Connected Memory (OCM)

Computing platforms are increasingly challenged by the need to process growing volumes of data arriving in real time and at very high rates. New memory technologies such as Hybrid Memory Cube (HMC) and High-bandwidth Memory (HBM) provide a Tbps memory access. Optical interconnects based on Silicon Photonic platform enable new distance independent, and reconfigurable compute to memory architectures. Our work spans from the physical layer including transceivers and switches to application demonstration of memory bound applications.


Columbia team works jointly with HPE’s PathForward program in an integrated multidisciplinary effort to leverage photonic, system architecture, and software expertise to develop new photonic enabled Exascale systems designs and drive emerging integrated photonic interconnect technologies. The leading researcher of the PathForward project from LRL is Yanir London.

Photonic Integrated Networked Energy efficient datacenter (PINE)

The Photonic Integrated Networked Energy efficient datacenter (PINE)vision is built on three main innovation pillars: i) redesigning the architecture based on disaggregation of compute and memory resources over a unified photonic interconnect with bandwidth steering capabilities to improve resource allocation throughout the datacenter, ii) introducing a concept of embedded datacenter nodes consisting of various Multi-Chip Modules (MCMs) interconnected in a unique interposer platform via high bandwidth density integrated photonics, and iii) developing a new generat

Photonic-Storage Subsystem Input/Output (P-SSIO) Interface

The Photonic-Storage Subsystem Input/Output (P-SSIO) Interface project aims to provide low-power high I/O bandwidth capacity for the storage subsystem in leadership superclass computers. Energy -efficient Photonic transceiver and Photonic-switched interconnect enable reconfigurable connectivity between hosts and storage devices for the disaggregated system architectures.

Photonics in the Package for Extreme Scalability (PIPES)

Computing systems are critically challenged to meet the performance of data intensive applications across multiple platforms particularly driven by the explosive growth in data analytics. Data movement, dominated by energy costs and limited ‘chip-escape’ bandwidth densities, is perhaps the singular roadblock to these systems’ scalability. Integrated silicon photonics with deeply embedded optical connectivity is on the cusp of enabling revolutionary data movement and extreme performance capabilities.

Contact Us

Lightwave Research Labratory, Columbia University

530 W 120th St,

8th floor, Schapiro (CEPSR) Building

New York City, NY 10027