Submission deadline for papers is July 6, 2025.
Topological Photonics? Vanishing Drude Weight? Improving Tandem Fluency? A selection of recent publications featuring research using the MGHPCC.
Event features featured speakers from leading research and education institutes across the region.
State announces funding for AI projects in Boston and Western Mass, new director for Massachusetts AI Hub
By using MGHPCC, WPI will save on campus electricity costs and spend less on expanding campus high performance computing infrastructure.
Mass Live article reports the many developments afoot at the MGHPCC.
The findings from MIT mathematicians could help planners design safer, more efficient pedestrian thoroughfares.
As part of the Massachusetts AI Hub initiative announced in December 2024, MGHPCC is soliciting RFP responses for an initial AI/ML compute resource.
Through innovative partnerships at the MGHPCC, Yale is bolstering its research infrastructure.
Several institutions involved with the U.S. National Science Foundation (NSF) ACCESS program are leading efforts to expand the Open Storage Network (OSN), which strives to provide low-cost, quality, sustainable distributed storage cloud for the research community.
Government, industry, and academia will partner with the Massachusetts Green High-Performance Computer Center in Holyoke to expand access to sustainable high-performance computing and data platforms necessary for AI innovation.
MIT chemical engineers designed an environmentally friendly alternative to the microbeads used in some health and beauty products.
MGHPCC honored with the Readers’ Choice Award for Top Energy-Efficient HPC Achievement at the SC24 conference.
Data Center Booth Will Illustrate Diversity of Research Hosted by MGHPCC.
New NSF-funded Initiative to grow Open OnDemand web portal will be co-lead by MGHPCC’s Julie Ma.
MGHPCC member institutions lead the charge in quantum computing research in Massachusetts. The center will host a first in the nation quantum computing facility.
This year's IEEE High Performance Extreme Computing (HPEC) conference once again brought together leading minds in high-performance and embedded computing to share groundbreaking advancements and foster collaboration.
An MGHPCC internship opportunity reshaped Chase Lyon’s professional journey entirely.
New dataset of “illusory” faces reveals differences between human and algorithmic face detection, links to animal face recognition, and a formula predicting where people most often perceive faces.
The banana apocalypse is near, but UMass Amherst biologists might have found a key to their survival.
