July 31, 2023 — At SC23, there will be a panel discussion titled “The Impact of Exascale and the Exascale Computing Project on Industry“ featuring members of Exascale Computing Project’s Industry and Agency Council (IAC), who will discuss how the ECP and the move to exascale computing is impacting industry’s current and planned use of […]
Members of ECP’s Industry Council in Panel at SC23 on Exascale Computing’s Impact on Industry
ExaWorks: Tested Component for HPC Workflows
ExaWorks is an Exascale Computing Project (ECP)–funded project that provides access to hardened and tested workflow components through a software development kit (SDK). Developers use this SDK and associated APIs to build and deploy production-grade, exascale-capable workflows on US Department of Energy (DOE) and other computers. The prestigious Gordon Bell Prize competition highlighted the success of the ExaWorks SDK when the Gordewinner and two of three finalists in the 2020 Association for Computing Machinery (ACM) Gordon Bell Special Prize for High Performance Computing–Based COVID-19 Research competition leveraged ExaWorks technologies.
Intel Announces Installation of Aurora Blades Is Complete, Expects System to be First to Achieve 2 ExaFLOPS
Intel today announced the Aurora exascale-class supercomputer at Argonne National Laboratory is now fully equipped with 10,624 compute blades. Putting a stake in the ground, Intel said in its announcement that “later this year, Aurora is expected to be the world’s first supercomputer to achieve a theoretical peak performance of more than 2 exaflops … […]
LLNL’s Lori Diachin Named Director of Exascale Computing Project
Lawrence Livermore National Laboratory’s Lori Diachin will take over as director of the Department of Energy’s Exascale Computing Project on June 1, “guiding the successful, multi-institutional high-performance computing effort through its final stages,” ECP said in its announcement. Diachin, who is currently the principal deputy associate director for LLNL’s Computing Directorate, has served as ECP’s […]
Let’s Talk Exascale: ALCF’s Katherine Riley Talks Aurora Deployment, Impactful Science and Partnering with ECP
In this episode of the “Let’s Talk Exascale” podcast, the Exascale Computing Project’s (ECP) Scott Gibson talks with Katherine Riley, director of science at the Argonne Leadership Computing Facility. Her mission is to lead a team of ALCF computational science experts who work with facility users to maximize their use of the facility’s computing resources. […]
Argonne: ATPESC 2023 Applications Due March 1
Jan. 4, 2023 — Applications are due Wednesday, March 1 for the annual Argonne Training Program on Extreme-Scale Computing (ATPESC), which will take place July 30-August 11, 2023 in the Chicago area. Apply here. There are no fees to participate in ATPESC. Domestic airfare, meals and lodging are also provided. The program offers the opportunity […]
Let’s Talk Exascale: The Why Behind HPC-class Scientific Simulations
This episode of the Let’s Talk Exascale podcast, produced by the U.S. Department of Energy’s Exascale Computing Project, features a discussion between ECP host Scott Gibson and Bronson Messer, who offers insights on computer modeling and simulation for advancing science. Messer is a distinguished scientist and director of science at the Oak Ridge Leadership Computing […]
OLCF’s Doug Kothe on Pushing Frontier Across the Exascale Line and the Future of Leadership Supercomputers
Everyone involved in the Frontier supercomputer project got a taste of what a moonshot is like. Granted, lives were not on the line with Frontier as they were when Armstrong and Aldrin went to the moon in 1969. But in other ways there are parallels between the space mission and standing up Frontier, the world’s […]
Exascale: ECP’s QMCPACK Project for Predicting and Controlling Materials
In this episode of the Let’s Talk Exascale podcast, produced by DOE’s Exascale Computing Project, the topic is an ECP subproject called QMCPACK, which aims to find, predict, and control materials from first principles with predictive accuracy. This episode offers a conversation with QMCPACK’s principle investigator, Paul Kent, a distinguished R&D staff member at Oak Ridge National Laboratory. The discussion