The Trump Adminisration today issued an executive order launching the Genesis Mission, described as a Department of Energy-led effort to “transform American science and innovation through the power of AI ….
IRI Coming into View: Berkeley and Oak Ridge Link Supercomputing Resources via Data Pipeline
May 21, 2025 by
The U.S. Department of Energy’s next-genertion leadership computing strategy features the Integrated Research Infrastructure (IRI), which aims to link the DOE’s vast experimental and HPC ….
ORNL and SLAC Team Up for Breakthrough Biology Projects
May 15, 2024 by
Under DOE’s Integrated Research Infrastructure initiative, Frontier will provide high-speed analysis for LCLS-II’s structural biology data output Plans to unite the capabilities of two cutting-edge technological facilities funded by the Department of Energy’s Office of Science promise to usher in a new era of dynamic structural biology. Through DOE’s Integrated Research Infrastructure, or IRI, initiative, the […]
@HPCpodcast: Matt Sieger of OLCF-6 on the Post-Exascale ‘Discovery’ Vision
March 26, 2024 by
What does a supercomputer center do when it’s operating two systems among the TOP-10 most powerful in the world — one of them the first system to cross the exascale milestone? It starts planning its successor. The center is Oak Ridge National Lab, a U.S. Department….
insideHPC-Hyperion Research Interview: Argonne’s Rick Stevens on the Future of Everything – U.S. Post-Exascale Strategy, AI for Science, HPC in 2040 and an Aurora Install Update
March 24, 2023 by
In this interview conducted on behalf of HPC analyst firm Hyperion Research, we spoke with Argonne National Laboratory’s Rick Stevens about the present and future of HPC. The starting point for this conversation is a presentation Stevens gave at a Hyperion event in Washington related to implementation of the CHIPS and Science Act and includes his insights on the post-exascale build-out of an integrated network of U.S. supercomputing capacity (the Integrated Research Infrastructure, or IRI). We then look at AI for science and the use of data-driven modeling and simulation, which shows the potential to deliver major performance gains for researchers….
