UMass Team
The UMass team supports researchers across the whole UMass system. View our featured projects from UMass Amherst and Umass Dartmouth.
UMass Team
The UMass team supports researchers across the whole UMass system. View our featured projects from UMass Amherst and Umass Dartmouth.
University of Massachusetts Team
The UMass team supports researchers across the whole UMass system. View our featured projects from UMass Amherst and Umass Dartmouth.
Adaptive Deep Learning Systems Towards Edge Intelligence
Hui Guan’s research focuses on the intersection of machine learning and programming systems, aiming to enhance speed, scalability, and reliability through innovations in algorithms and systems like compilers and runtime.
Adaptive Deep Learning Systems Towards Edge Intelligence
Hui Guan’s research focuses on the intersection of machine learning and programming systems, aiming to enhance speed, scalability, and reliability through innovations in algorithms and systems like compilers and runtime.
Adaptive Deep Learning Systems Towards Edge Intelligence
Hui Guan’s research focuses on the intersection of machine learning and programming systems, aiming to enhance speed, scalability, and reliability through innovations in algorithms and systems like compilers and runtime.
New Insights on Binary Black Holes
URI researchers make extensive use of the UNITY Cluster housed at MGHPCC in their work relating to the coalescence of binary black hole systems using perturbation theory and estimation of the properties of the emitted gravitational radiation.
New Insights on Binary Black Holes
URI researchers make extensive use of the UNITY Cluster housed at MGHPCC in their work relating to the coalescence of binary black hole systems using perturbation theory and estimation of the properties of the emitted gravitational radiation.
New Insights on Binary Black Holes
URI researchers make extensive use of the UNITY Cluster housed at MGHPCC in their work relating to the coalescence of binary black hole systems using perturbation theory and estimation of the properties of the emitted gravitational radiation.
Developing Advanced Materials for a Sustainable Energy Future
UMass Lowell researcher Fanglin Che and her group use computers at the MGHPCC in their work centered around AI-guided multi-scale and multi-physics simulations of catalysis and material science.
Developing Advanced Materials for a Sustainable Energy Future
UMass Lowell researcher Fanglin Che and her group use computers at the MGHPCC in their work centered around AI-guided multi-scale and multi-physics simulations of catalysis and material science.
Developing Advanced Materials for a Sustainable Energy Future
UMass Lowell researcher Fanglin Che and her group use computers at the MGHPCC in their work centered around AI-guided multi-scale and multi-physics simulations of catalysis and material science.
