A $4.9-million award from the National Science Foundation has funded an upgrade to the Pittsburgh Supercomputing Center’s flagship Bridges-2 supercomputer. The grant allows the center to add Nvidia H100 ….
NIH Funds $3.15M for Anton HPC at PSC
August 5, 2024 by
Aug. 5, 2024 — The Pittsburgh Supercomputing Center announced today that a third-generation Anton supercomputer (Anton 3), developed by D. E. Shaw Research (DESRES), will soon arrive at the Pittsburgh Supercomputing Center (PSC). A $3.15-million, five-year award from the National Institutes of Health will fund the system’s operations, making it available without cost for non-commercial […]
James Barr von Oehsen Named Director of Pittsburgh Supercomputing Center
February 20, 2023 by
James Barr von Oehsen has been selected as the director of the Pittsburgh Supercomputing Center (PSC), a joint research center of Carnegie Mellon University and the University of Pittsburgh. Von Oehsen is a leader in the fields of cyberinfrastructure, research computing, advanced networking, data science and information technology. Von Oehsen joins PSC from New Jersey […]
NSF-funded Computer Program Receives $150,000 in Improvement Funding
May 3, 2022 by
Work of a computer program to improve predictions of the physical behavior of industrially important materials, designed with leadership from Pittsburgh Supercomputing Center, has been awarded $150,000 through the National Science Foundation (NSF)-funded Characteristic Science Applications (CSA) program. The 21 computer applications awarded reflect the broad range of science domains and computational approaches — from […]
PSC, NCSA, NCAR in $7.5M NSF Project Allocating Access on NSF Supercomputers
April 22, 2022 by
April 22, 2022 — The U.S. National Science Foundation (NSF) has awarded $7.5 million over five years to the Resource Allocations Marketplace and Platform Services (RAMPS) project, a next-generation system for awarding computing time in the NSF’s network of supercomputers. Led by the Pittsburgh Supercomputing Center (PSC), a joint program of Carnegie Mellon University and […]
PSC’s Neocortex HPC Upgrades to Cerebras CS-2 AI Systems
April 13, 2022 by
The Neocortex high-performance AI computer at the Pittsburgh Supercomputing Center (PSC) has been upgraded with two new Cerebras CS-2 systems powered by the second-generation wafer-scale engine (WSE-2) processor. PSC said the WSE-2 doubles the system’s cores and on-chip memory as well as offering a new execution mode designed for extreme-scale deep-learning tasks, including larger model […]
Pittsburgh Supercomputing Center Receives Proclamations Celebrating 35 Years
October 7, 2021 by
Oct. 7, 2021 – Local, state and federal officials have recognized the Pittsburgh Supercomputing Center’s (PSC’s) 35-year anniversary. US Congressman Mike Doyle; Governor Tom Wolf; PA State Senators Pat Stefano and John Sabatina; PA State Representatives Donna Oberlander, Austin Davis, and Brandon Markosek; Allegheny County Executive Rich Fitzgerald; and Mayor of Pittsburgh Bill Peduto have all […]
PSC’s HPE-Cerebras ‘Neocortex’ AI Supercomputer Starts Early User Access Program
March 29, 2021 by
March 29, 2021 — The Pittsburgh Supercomputing Center (PSC) has deployed Neocortex, an HPC system PSC said is designed to revolutionize scientific AI research. Funded by a $5 million grant from the National Science Foundation last June, Neocortex utilizes new hardware with the goal of accelerating AI research. PSC, a joint research organization of Carnegie […]
HPC at TACC, PSC, Univ. of Chicago Supports Completion of 1st Multiscale COVID-19 Virus Model
February 26, 2021 by
The Texas Advanced Computing Center has announced completion of what it said is the first complete, multiscale model of the SARS-CoV-2 virus, a project that leveraged HPC resources at TACC, the Pittsburgh Supercomputing Center (PSC) and the University of Chicago Research Computing Center (UCRCC). According to an article published late yesterday by TACC Technical Writer […]
MIT Researchers Develop Neural Networks for Computational Chemistry Using SDSC, PSC Supercomputers
February 11, 2021 by
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.
