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Lincoln Laboratory Supercomputing Center (LLSC)

Lincoln Laboratory Supercomputing Center - A world leader in Interactive Supercomputing

The Lincoln Laboratory Supercomputing Center (LLSC) staff are advancing the capabilities of our supercomputing system by developing new technologies to improve the system's performance. The center provides interactive, on-demand parallel computing that allows researchers from across the Laboratory to augment the processing power of their desktop systems in order to process large sets of sensor data, create high-fidelity simulations, and develop new algorithms. We are also collaborating with researchers from MIT on several supercomputing initiatives.

Recently, it was announced that MIT Lincoln Laboratory has unveiled TX-GAIN, the most powerful AI supercomputer at any U.S. university. Housed at the Lincoln Laboratory Supercomputing Center (LLSC) in Holyoke, Massachusetts, TX-GAIN is optimized for generative AI, with a peak performance of two AI exaflops—two quintillion operations per second. It features over 600 NVIDIA GPU accelerators and supports a wide range of research areas, including biodefense, materials discovery, cybersecurity, and autonomous systems.

Lincoln Laboratory Supercomputing Center

Research projects

A Future of Unmanned Aerial Vehicles
Yale Budget Lab
Volcanic Eruptions Impact on Stratospheric Chemistry & Ozone
Towards a Whole Brain Cellular Atlas
Tornado Path Detection
The Kempner Institute - Unlocking Intelligence
The Institute for Experiential AI
Taming the Energy Appetite of AI Models
Surface Behavior
Studying Highly Efficient Biological Solar Energy Systems
Software for Unreliable Quantum Computers
Simulating Large Biomolecular Assemblies
SEQer - Sequence Evaluation in Realtime
Revolutionizing Materials Design with Computational Modeling
Remote Sensing of Earth Systems
Quantum Computing in Renewable Energy Development
Pulling Back the Quantum Curtain on ‘Weyl Fermions’
New Insights on Binary Black Holes
NeuraChip
Network Attached FPGAs in the OCT
Monte Carlo eXtreme (MCX) - a Physically-Accurate Photon Simulator
Modeling Hydrogels and Elastomers
Modeling Breast Cancer Spread
Impact of Marine Heatwaves on Coral Diversity
IceCube: Hunting Neutrinos
Genome Forecasting
Global Consequences of Warming-Induced Arctic River Changes
Exact Gravitational Lensing by Rotating Black Holes
Evolution of Viral Infectious Disease
Evaluating Health Benefits of Stricter US Air Quality Standards
Ephemeral Stream Water Contributions to US Drainage Networks
Energy Transport and Ultrafast Spectroscopy Lab
Electron Heating in Kinetic-Alfvén-Wave Turbulence
Discovering Evolution’s Master Switches
Dexterous Robotic Hands
Developing Advanced Materials for a Sustainable Energy Future
Detecting Protein Concentrations in Assays
Denser Environments Cultivate Larger Galaxies
Deciphering Alzheimer's Disease
Dancing Frog Genomes
Cyber-Physical Communication Network Security
Asteroid Data Mining
Analyzing the Gut Microbiome
Adaptive Deep Learning Systems Towards Edge Intelligence
Accelerating Rendering Power
ACAS X: A Family of Next-Generation Collision Avoidance Systems
Computation + Machine Intelligence | Wu Tsai Institute
Computational Modeling of Biological Systems
Computational Molecular Ecology
Social Capital and Economic Mobility
All Research Projects

Collaborative projects

ALL Collaborative PROJECTS

OUTREACH & EDUCATION PROJECTS

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100 Bigelow Street, Holyoke, MA 01040