Even though computational chemistry represents a challenging arena for machine learning, a team of researchers from the Massachusetts Institute of Technology (MIT) may have made it easier. Using Comet at the San Diego Supercomputer Center at UC San Diego and Bridges at the Pittsburgh Supercomputing Center, they succeeded in developing an artificial intelligence (AI) approach to detect electron correlation – the interaction between a system’s electrons – which is vital but expensive to calculate in quantum chemistry.
MIT Researchers Develop Neural Networks for Computational Chemistry Using SDSC, PSC Supercomputers
February 11, 2021 by
$1.5 M in State HPC Funding for Pittsburgh Supercomputing Center and Collaborators
January 21, 2021 by
Jan. 21, 2021 – The Commonwealth of Pennsylvania has funded the Pittsburgh Supercomputing Center and collaborators with $1.5 million in two separate awards. The state’s 2020-21 budget includes a line item for $500,000 to fund activities at PSC not covered by the organization’s research grants. The money will support PSC’s workforce development efforts and other […]
Pittsburgh Supercomputing Center Receives NSF Grant for Nerve Cell Research
November 3, 2020 by
The Pittsburgh Supercomputing Center, a joint research effort by the University of Pittsburgh and Carnegie Mellon University, recently received a $750,000 grant from the National Science Foundation, which will continue a lab-computer collaboration that accurately simulates communications between nerve cells and muscle cells. Stephen Meriney, professor of neuroscience in Pitt’s Kenneth P. Dietrich School of Arts and Sciences, […]
$750,000 Grant to Research of Nerve-Muscle Communication at Pittsburgh Supercomputing Center, Pitt
October 5, 2020 by
A $750,000 grant from the National Science Foundation will continue a lab-computer collaboration that accurately simulated communications between nerve cells and muscle cells. The project has immediate applications in treating a type of neurological disease called Lambert-Eaton Myasthenic Syndrome (LEMS). It also offers fundamental insights into how nerve cells communicate with muscle cells in health […]
Anton 2 at PSC for Coronavirus Binding Simulation, COVID-19 Test Development
June 15, 2020 by
A team at the University of Arkansas is using the Pittsburgh Supercomputing Center’s Anton 2 system to simulate molecular systems for microseconds or longer to investigate how the Coronavirus that causes COVID-19 attaches to human cells, PSC reported. Anton 2, developed by privately held D. E. Shaw Research (DESRES) of New York, is a special-purpose, […]
AI Supercomputer at PSC to Combine Cerebras ‘World’s Largest Chip’ and HPE Superdome Flex
June 9, 2020 by
The Pittsburgh Supercomputing Center has won a $5 million award from the National Science Foundation to build Neocortex, an AI supercomputer that incorporates the Cerebras Systems Wafer Scale Engine technology introduced last year along with Hewlett Packard Enterprise’s shared memory Superdome Flex hardware. PSC, a joint research organization of Carnegie Mellon University and the University […]
Video: Evolving Cyberinfrastructure, Democratizing Data, and Scaling AI to Catalyze Research Breakthroughs
May 16, 2020 by
Nick Nystrom from the Pittsburgh Supercomputing Center gave this talk at the Stanford HPC Conference. “The Artificial Intelligence and Big Data group at Pittsburgh Supercomputing Center converges Artificial Intelligence and high performance computing capabilities, empowering research to grow beyond prevailing constraints. The Bridges supercomputer is a uniquely capable resource for empowering research by bringing together HPC, AI and Big Data.”
XSEDE Supercomputers Simulate Tsunamis from Volcanic Events
May 9, 2020 by
Researchers at the University of Rhode Island are using XSEDE supercomputer to show that high-performance computer modeling can accurately simulate tsunamis from volcanic events. Such models could lead to early-warning systems that could save lives and help minimize catastrophic property damage. “As our understanding of the complex physics related to tsunamis grows, access to XSEDE supercomputers such as Comet allows us to improve our models to reflect that, whereas if we did not have access, the amount of time it would take to such run simulations would be prohibitive.”
Pittsburgh Supercomputing Center Resources Available for COVID-19 Research
April 3, 2020 by
The Pittsburgh Supercomputing Center (PSC), a joint effort between Carnegie Mellon University and the University of Pittsburgh, has allotted computing time on its Bridges and Bridges-AI platforms for urgent COVID-19 computational research. These resources are available at no cost to scientists. “PSC is part of the COVID-19 HPC Consortium, which encompasses computing capabilities from some of the most powerful and advanced computers in the world. By contributing to this combined effort, the PSC aims to empower researchers around the world to accelerate understanding of the COVID-19 virus and the development of treatments and vaccines that will help to address infections and limit spread of the virus.”
Deep Learning for Predicting Severe Weather
February 6, 2020 by
Researchers from Rice University have introduced a data-driven framework that formulates extreme weather prediction as a pattern recognition problem, employing state-of-the-art deep learning techniques. “In this paper, we show that with deep learning you can do analog forecasting with very complicated weather data — there’s a lot of promise in this approach.”
