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MGHPCC, UNH, UVM, UMaine Launch Regional Research Computing Initiative

July 1, 2017

NSF-Funded Project Aims to Strengthen Regional Innovation Economy by Supporting Computationally Intensive Research at Small- and Medium-Sized Institutions
Holyoke, Massachusetts, June 27, 2017 — The Massachusetts Green High Performance Computing Center (MGHPCC), the University of New Hampshire (UNH), the University of Vermont (UVM) and the University of Maine System (UMaine) today announced an initiative that will strengthen the region’s innovation economy by advancing computationally intensive research at small- and medium-sized institutions.
“Large scale computers that can apply thousands of processors to solve a research problem are as important today as test tubes and microscopes were in the 20th Century,” said John Goodhue, Executive Director of the MGHPCC, and principal investigator for the project. “The effective use of computers at small- and medium-sized institutions is essential if their faculty and students are to remain competitive and continue to add value to the region’s economy. This initiative will help them access these game-changing resources.”
Funded by a $1.1 million grant from the National Science Foundation (NSF), the three-year initiative will create a sustainable pool of Research Computing Facilitators to work across institutions in the region. Research Computing Facilitators are experts at connecting researchers with appropriate computer systems, which is a particularly important function when the needs of a researcher extend beyond readily-accessible departmental resources. At larger institutions, facilitators can be found in departments that specialize in research computing, but for many small- and medium-sized colleges and universities, this is not affordable or practical. Given that promising research projects and education programs can be delayed or even halted without access to appropriate computing resources, a regional pool of facilitators will fill an important need.
The initiative will also launch 40 computationally-intensive research and education projects at more than 30 small- and medium-sized institutions. Each project will be staffed with a team pairing a student Research Computing Facilitator and an experienced mentor, with the dual goal of assisting the relevant researcher/educator while developing a pipeline of new talent to meet growing academic and industry demand. Increasing the number of women and underrepresented minorities in the talent pipeline is another important program goal.
“The impact of these projects at smaller institutions cannot be overstated. It is not just about the compute resources. Access to the researchers and research conducted at the larger universities will open many doors for these students and hopefully motivate and enable them to pursue careers in research,” said Ralph Zottola, Chief Technology Officer for Research Computing at UMass and a senior project coordinator for the initiative.
The project will be directed by a team consisting of the principal investigator, co-investigators and senior project coordinators who will match projects, mentors and students while developing a growing base of experience and best practices that can be applied throughout the region. In addition to principal investigator Goodhue at the MGHPCC, the team includes co-investigators Bruce Segee, Electrical and Computer Engineering Professor at UMaine; Scott Valcourt, Director of Strategic Technology at UNH; and Stephen Everse, Associate Biotechnology Professor at UVM; and senior project coordinators Zottola at UMass and Sia Najafi, Director of Research Computing at Worcester Polytechnic Institute (WPI).
This team model was inspired by the success of the ground-breaking MGHPCC consortium – a collaborative effort by the region’s most research-intensive universities (Harvard University, the Massachusetts Institute of Technology, Boston University, Northeastern University and the University of Massachusetts) to build a high-performance data center that now houses the largest aggregation of research computing power in the Northeast.

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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Collaborative projects

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Outreach & Education Projects

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