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MIT Office of Research Computing and Data

Established in September 2022, the MIT Office of Research Computing and Data (ORCD) is dedicated to providing frictionless access to advanced research computing services for the entire MIT community.

The Office of Research Computing and Data (ORCD) at MIT supports the computational and data needs of the university’s research community. Its mission is to provide advanced computing resources, cutting-edge data services, and expert consultation to enable groundbreaking research across a variety of disciplines. ORCD offers access to high-performance computing (HPC) clusters, cloud services, and specialized software that researchers use to process large datasets, run simulations, and perform complex analyses.

ORCD operates the Engaging Cluster that provides essential resources for researchers across various disciplines. Supporting interdisciplinary collaboration, this cluster supports hundreds of researchers across disciplines. It comprises more than 1,000 CPU cores, 50 GPU nodes, and 300 terabytes of storage, enabling complex data analysis, simulations, and modeling. Engaging enables ORCD to support a diverse research community at MIT, providing the computational power and flexibility necessary to drive significant advancements across multiple scientific fields.

In addition to providing infrastructure, the office focuses on developing customized solutions for research projects that have unique computational requirements. This includes offering training programs on data management, computational tools, and best practices in scientific computing. ORCD also plays a pivotal role in data security and compliance, ensuring that sensitive research data is managed and stored securely in accordance with federal and institutional guidelines.

Collaboration is a key aspect of ORCD’s activities, as it works closely with faculty, graduate students, and research labs to tailor computational resources to the specific needs of different scientific fields, including biology, physics, economics, and artificial intelligence. Through these services, the office empowers researchers to tackle complex problems, driving innovation and advancing MIT’s mission in science and technology.

ORCD
Office of Research Computing and Data, MIT

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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