Menu

UMass Amherst Research Computing and Data

RCD offers access to high-performance computing (HPC) systems, cloud computing, and large-scale data storage, enabling researchers to tackle complex computational tasks such as simulations, data analysis, and machine learning in fields ranging from life sciences to engineering and social sciences.

UMass Amherst Research Computing & Data (RCD) supports the university’s research community by providing advanced computing infrastructure, data management services, and expert consultation.

The office manages the university's central HPC environment, which includes hundreds of compute nodes and thousands of CPU cores, designed to handle the demands of large-scale, data-intensive research. RCD also provides support for specialized computing needs, such as access to GPU computing for parallel processing and AI applications. The Unity Cluster is a collaborative research computing environment supported by an interdisciplinary and multi-institutional staff of research scientists, staff and student facilitators, and systems administrators. The Unity cluster includes over 23,000 compute cores, over 1,000 GPUs, and stores 5 PB of research data. Unity serves over 2,000 users across over 450 research groups. Unity researchers use over 100 million core-hours and 4 million GPU-hours annually.

In addition to technical resources, RCD provides hands-on training, workshops, and consultation services to help researchers develop skills in scientific programming, data management, and the effective use of computational tools. The group works closely with faculty and research teams to optimize their workflows, providing tailored solutions that enhance productivity and research outcomes.

RCD is also responsible for ensuring that research data is stored and managed securely, meeting compliance requirements for sensitive data. Through these services, UMass Amherst RCD empowers researchers to advance discovery, innovation, and scholarship across diverse academic disciplines.

Research Computing and Data Group
UMass Amherst

Research projects

A Future of Unmanned Aerial Vehicles
Yale Budget Lab
Volcanic Eruptions Impact on Stratospheric Chemistry & Ozone
The Rhode Island Coastal Hazards Analysis, Modeling, and Prediction System
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
QuEra at the MGHPCC
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
Measuring Neutrino Mass
Investigating Mantle Flow Through Analyses of Earthquake Wave Propagation
Impact of Marine Heatwaves on Coral Diversity
IceCube: Hunting Neutrinos
Genome Forecasting
Global Consequences of Warming-Induced Arctic River Changes
Fuzzing the Linux Kernel
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
Avoiding Smash Hits
Analyzing the Gut Microbiome
Adaptive Deep Learning Systems Towards Edge Intelligence
Accelerating Rendering Power
ACAS X: A Family of Next-Generation Collision Avoidance Systems
Neurocognition at the Wu Tsai Institute, Yale
Computational Modeling of Biological Systems
Computational Molecular Ecology
Social Capital and Economic Mobility
All Research Projects

Collaborative projects

ALL Collaborative PROJECTS

Outreach & Education Projects

See ALL Scholarships
100 Bigelow Street, Holyoke, MA 01040