Modelers at UMass Lowell use MGHPCC computers to assess whether the close stellar proximity of a recently discovered Red-dwarf orbiting, Earth-like exoplanet could negatively impact its effective habitability.

Below is a selection of papers that appeared in May 2020  reporting the results of research using the Massachusetts Green High Performance Computing Center (MGHPCC), or acknowledging the use of Harvard’s Odyssey or Cannon Clusters, Northeastern’s Discovery Cluster, the Boston University Shared Computing Cluster and MIT’s Engaging Cluster all of which are housed at the MGHPCC.

Simulation with deep convection run on computers housed at the MGHPCC points to hidden vortices.

Below is a selection of papers that appeared in May 2020  reporting the results of research using the Massachusetts Green High Performance Computing Center (MGHPCC), or acknowledging the use of Harvard’s Odyssey or Cannon Clusters, Northeastern’s Discovery Cluster, the Boston University Shared Computing Cluster and MIT’s Engaging Cluster all of which are housed at the MGHPCC.

Below is a selection of papers that appeared in April 2020  reporting the results of research using the Massachusetts Green High Performance Computing Center (MGHPCC), or acknowledging the use of Harvard’s Odyssey or Cannon Clusters, Northeastern’s Discovery Cluster, the Boston University Shared Computing Cluster and MIT’s Engaging Cluster all of which are housed at the MGHPCC.

UMass Amherst scientists advance knowledge of neurodegenerative fibril formation using computers at the MGHPCC.

Using computers housed at the MGHPCC, UMass Dartmouth graduate student develops new model to aid gravitational wave discoveries.

Robert Marsland III is currently a Postdoctoral Fellow in the Theoretical Biophysics Group at Boston University. He uses computers housed at the MGHPCC in his work hunting down the governing principles underpinning the dynamics and community ecology of microbial systems on scales from the human gut up to that of the planet itself.

MGHPCC and the Mass Open Cloud (MOC) project are collaborating with MOC partners Intel and Red Hat to match volunteer experts in computing with projects that need help in the fight against COVID-19. 

The Open Cloud Workshop (formerly the Mass Open Cloud (MOC) Workshop) was held on March 2-3, 2020 at Boston University. 

reporting by Helen Hill Researchers at Harvard’s School of Public Health and elsewhere are using computers housed at the MGHPCC to fine-scale air pollution estimation to help guide policymakers.

reporting by Helen Hill In a new paper,  MIT researcher Stephanie Dutkiewicz and collaborators use computers housed at the MGHPCC to develop theories to explain and predict how phytoplankton are distributed in the ocean.

Doctoral Candidate in MIT’s Department of Nuclear Science and Engineering (NSE) Nestor Sepulveda is using MGHPCC research computing resources to help chart a path towards decarbonization.

Astrophysicists at UMass Dartmouth use computing resources at the MGHPCC to study black hole’s hair!

Turbulence — the unruly swirling of fluid and air that mixes coffee and cream and can rattle airplanes in flight — causes heat loss that weakens efforts to reproduce on Earth the fusion that powers the sun and stars. Now scientists have modeled a key source of the turbulence found in a fusion experiment at […]

Harvard astronomers using computers housed at the MGHPCC discover largest known coherent gaseous structure in our galaxy.

A new cloud computing testbed is coming to MGHPCC thanks to a $5M grant from NSF.

Below is a selection of papers that appeared in November 2019 reporting the results of research using the Massachusetts Green High Performance Computing Center (MGHPCC), or acknowledging the use of Harvard’s Odyssey Cluster, Northeastern’s Discovery Cluster, the Boston University Shared Computing Cluster and MIT’s Engaging Cluster all of which are housed at the MGHPCC.

GPU facilities will be made available to researchers through Internet2 links and regional computing partnerships at MGHPCC.

TX-GAIA is tailor-made for crunching through deep neural network operations.