The White House announced the launch of the COVID-19 HPC Consortium to provide COVID-19 researchers worldwide with access to the world’s most powerful high performance computing resources that can significantly advance the pace of scientific discovery in the fight to stop the virus.
This week, LLNL highlighted one of the latest additions to its computing arsenal: Magma. Magma is a Penguin Computing “Relion” system comprised of 752 nodes with Intel Xeon Platinum 9242 (Cascade Lake-AP) processors.
Lawrence Livermore National Laboratory (LLNL), Hewlett Packard Enterprise (HPE) and Advanced Micro Devices Inc. (AMD) today announced the selection of AMD as the node supplier for El Capitan, projected to be the world’s most powerful supercomputer when it is fully deployed in 2023.
LLNL bested more than two dozen teams to place first overall in Challenge 1 of the DOE Grid Optimization Competition, aimed at developing a more reliable, resilient, and secure U.S. electrical grid.
Led by LLNL's Tzanio Kolev, the Center for Efficient Exascale Discretizations (CEED) is a hub for high-order mathematical methods to increase application efficiency and performance.
LLNL is now home to the world’s largest Spectra TFinity system, following a complete replacement of the tape library hardware that supports Livermore’s data archives.
This episode of Let’s Talk Exascale takes a brief look at the xSDK4ECP and hypre projects within the Software Technology research focus area of the US Department of Energy’s Exascale Computing Project (ECP).
In this Let’s Talk Exascale podcast, researchers involved with the Scalable Checkpoint/Restart (SCR) Framework describe how it will enable users of high-performance computing systems to roll with the rapid pace of change.
A software product from the Exascale Computing Project (ECP) called UnifyFS can provide I/O performance portability for applications, enabling them to use distributed in-system storage and the parallel file system.
At the annual supercomputing conference, SC19 in Denver, Colorado, there were Spack events each day of the conference.
The 2019 International Conference for High Performance Computing, Networking, Storage, and Analysis— better known simply as SC19 — returned to Denver, and once again Lawrence Livermore National Laboratory (LLNL) made its presence known as a force in supercomputing.
A panel of judges at the International Conference for High Performance Computing, Networking, Storage and Analysis (SC19) on Thursday awarded a multi-institutional team led by Lawrence Livermore National Laboratory computer scientists with the conference’s Best Paper award.
Lawrence Livermore National Laboratory (LLNL), along with the Oak Ridge and Argonne national laboratories and Cray Inc., garnered HPCwire Readers’ and Editors’ Choice Awards for Top Supercomputing Achievement for 2019.
Lawrence Livermore National Laboratory (LLNL) is collaborating with Penguin Computing Inc. and graphics card manufacturer AMD to upgrade its unclassified computing cluster Corona to roughly double the amount of graphics processors (GPUs) the system previously had.
The latest TOP500 List of the world's most powerful computers was released today at the 2019 International Supercomputing Conference for High Performance Computing, Networking, Storage and Analysis (SC19) in Denver.
Lawrence Livermore National Laboratory (LLNL) is welcoming the newest addition to its already powerful supercomputing lineup, a commodity cluster system built by Penguin Computing Inc. that will perform vital calculations for the National Nuclear Security Administration (NNSA).
Computational Scientist Ramesh Pankajakshan came to LLNL in 2016 directly from the University of Tennessee at Chattanooga. But unlike most recent hires from universities—students, grad students, or postdocs—Ramesh made a mid-career switch from research professor to professional researcher.
Spack is an open-source package manager for HPC. Its simple, templated Python DSL allows the same package to be built in many configurations, with different compilers, flags, dependencies, and dependency versions.
Energy Secretary Rick Perry (center) emphasized the importance of advancing high performance computing and artificial intelligence to take on a number of transformative science opportunities during a special round-table discussion held Monday at Lawrence Livermore.
The world's fastest supercomputers will soon be left in the dust by so-called "exascale" machines. Built-in talked with three authorities about the futuristic, and future-impacting, technology, including LLNL's Lori Diachin.
As part of the Department of Energy’s role in the fight against cancer, scientists are building tools that use supercomputers to solve problems in entirely new ways.
The Department of Energy(DOE), National Nuclear Security Administration (NNSA) and Lawrence Livermore National Laboratory (LLNL) today announced the signing of contracts with Cray Inc. to build the NNSA’s first exascale supercomputer, “El Capitan.”
Jingke Xu and Kathryn Mohror are among the 73 scientists nationwide who were selected for the recognition. Under the program, typical awards for DOE national laboratory staff are $500,000 per year for five years.
In this video, researchers describes activities at Lawrence Livermore National Laboratory’s Center for Applied Scientific Computing (CASC). Director Jeffrey Hittinger and Teresa Bailey discuss how CASC uses high-performance computing for research in the interest of national security.