Early User Program for Bridges-2

Sept. 24, 2020

PSC is excited to announce the Early User Program for Bridges-2, our newest computational research platform. Bridges-2 will provide transformative capability for rapidly evolving, computation-intensive and data-intensive research, creating opportunities for collaboration and convergence research. It will support both traditional and non-traditional research communities and applications. Bridges-2 will integrate new technologies for converged, scalable HPC, machine learning and data; prioritize researcher productivity and ease of use; and provide an extensible architecture for interoperation with complementary data-intensive projects, campus resources, and clouds.

Please see https://www.psc.edu/bridges-2/eup-apply for application instructions and http://www.psc.edu/bridges-2 for project details and updates.

If you have any questions or need help completing the application process, please do not hesitate to contact us via email at bridges2@psc.edu.

HuBMAP Inaugural Data Release: Detailed Anatomical Data about Seven Human Organs for Scientists, Public



Sept. 1, 2020

HuBMAP (the Human BioMolecular Atlas Program) has released its inaugural data for use by the scientific community and the general public. Included in this release are detailed, 3D anatomical data and genetic sequences of healthy tissues from seven organ types, at the level of individual cells as well as many bulk tissue datasets. HuBMAP’s ultimate goal is to provide the framework required for scientists to create a 3D atlas of the human body. HuBMAP’s tools and maps are openly available for research to accelerate understanding of the relationships between cell and tissue organization and function, as well as human health. PSC is a leading member of the HuBMAP Integration, Visualization, and Engagement (HIVE) Collaboratory.

You can get more information about the HuBMAP data release here. Visitors can find the data here.

Unequal Neutron-Star Mergers Create Unique “Bang” in Bridges Simulations

Slower and Noisier

Aug. 3, 2020

It seems strange to talk about “quiet” versus “noisy” collisions of neutron stars. But many such impacts form a black hole that swallows all but the gravitational evidence. A series of simulations using PSC’s Bridges platform and other supercomputers by a Penn State scientist suggested that, when the neutron stars’ masses are different enough, the result is far noisier. The model predicts an electromagnetic “bang,” which isn’t present when the merging stars’ masses are similar, that astronomers should be able to detect.









Above: a neutron star is ripped apart by tidal forces from its massive companion in an unequal-mass binary neutron star merger (left). Most of the smaller partner’s mass falls onto the massive star, causing it to collapse and to form a black hole (middle). But some of the material is ejected into space; the rest falls back to form a massive accretion disk around the black hole (right). From Figure 4 in Accretion-induced prompt black hole formation in asymmetric neutron star mergers, dynamical ejecta and kilonova signals. Bernuzzi S et al., Monthly Notices of the Royal Astronomical Society, online June 2020.

NSF Funds Neocortex, a Groundbreaking AI Supercomputer, at PSC

The National Science Foundation Awards $5 million to the Pittsburgh Supercomputing Center to Build Neocortex, an AI Supercomputer that Will Introduce Revolutionary Technologies

June 9, 2020

A $5 million National Science Foundation (NSF) award will allow the Pittsburgh Supercomputing Center (PSC) to deploy a unique high-performance artificial intelligence (AI) system. Neocortex will introduce fundamentally new hardware to greatly speed AI research. PSC, a joint research organization of Carnegie Mellon University and the University of Pittsburgh, will build the new supercomputer in partnership with Cerebras Systems and Hewlett Packard Enterprise (HPE).