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MGHPCC Members Expand Facility to Meet Demand for Research Computing

September 9, 2022

Project Represents $5 Million Investment by MIT, Harvard, BU, Northeastern, and UMass

Read the MGHPCC Press Release

Holyoke, Massachusetts, [September 7, 2022] – Reflecting ever-growing demand for computing power that has become fundamental to academic research, the Massachusetts Institute of Technology (MIT), Harvard University, Boston University, Northeastern University, and the University of Massachusetts announced today that they are investing more than $5 million to expand capacity at the Massachusetts Green High-Performance Computing Center (MGHPCC) in Holyoke, Massachusetts.

The expansion includes data center capacity to support several thousand new servers at the 90,000-square-foot facility, while employing local electrical and mechanical contractors and engaging in next-generation workforce development to support future research computing operations.  The expansion is being driven by the planned and steady growth in computational research, as envisioned in the creation of the MGHPCC in 2009. 

The computing infrastructure being added through the expansion is almost entirely powered by non–fossil fuel energy sources, including approximately 67 megawatts of local hydroelectric and solar generation operated by Holyoke Gas and Electric.

“Researchers rely on MGHPCC computing power to investigate how stars form, improve medical imaging, study ecosystem dynamics in New England coastal waters, and model the global risks of accelerating climate change, among many other impactful projects,” said MIT Vice President for Research Maria T. Zuber, a member of the MGHPCC Board of Directors. “Expanding the computing capacity at MGHPCC meets growing demand while heeding the imperative to perform this energy-intensive research with minimal environmental impact.”

Nearly every branch of science and engineering today relies on high-performance computing. “In silico” experimentation and data analytics have become powerful tools for knowledge discovery, alongside theory, physical experimentation and observation.  In addition, machine learning has developed rapidly in recent years, expanding as both a research area and a tool for scientific discovery and innovation.  As a result, MGHPCC members are now taking advantage of the expansion options that were built into the original facility design.

“That so much science now relies on intensive computation is testament to the vision of our founding institutions and public and private partners who came together to create the MGHPCC more than a decade ago,” said John Goodhue, Executive Director of the MGHPCC.  “Their vision also correctly anticipated that research enabled by the MGHPCC would become foundational to the state’s innovation-based economy.  The expansion helps maintain that position of strength and will allow us to further expand our horizons.”

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
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