Scheduled for completion in 2022, the project will expand the Livermore Computing Center's power and cooling capacity in preparation for exascale supercomputing hardware.
LLNL's latest HPC system, aptly nicknamed “Magma," delivers 5.4 petaflops of peak performance crammed into 760 compute nodes.
The Exascale Computing Project's Let's Talk Exascale podcast has a new episode (5:54) featuring LLNL's Todd Gamblin, who talks about the package manager Spack.
AMD will supply upgraded GPUs for the Corona supercomputing cluster, which will be used by scientists working on discovering potential antibodies and antiviral compounds for SARS-CoV-2.
The White House announced the COVID-19 HPC Consortium to provide access to HPC resources that can advance 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 processors.
With its advanced CPUs/GPUs developed by AMD, El Capitan’s peak performance is expected to exceed 2 exaflops, which would make it the fastest supercomputer in the world when it is deployed in 2023.
On January 31, 2020, the Sequoia supercomputer and its file system were decommissioned after nearly 8 years of remarkable service and achievements.
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.
The extreme-scale scientific software development kit (xSDK) is an ecosystem of independently developed math libraries and scientific domain components.
Users need tools that address bottlenecks, work with programming models, provide automatic analysis, and overcome the complexities and changing demands of exascale architectures.
Highlights include CASC director Jeff Hittinger's vision for the center as well as recent work with PruneJuice DataRaceBench, Caliper, and SUNDIALS.
Highlights include the latest work with RAJA, the Exascale Computing Project, algebraic multigrid preconditioners, and OpenMP.
Highlights include recent LDRD projects, Livermore Tomography Tools, our work with the open-source software community, fault recovery, and CEED.
Highlights include the HYPRE library, recent data science efforts, the IDEALS project, and the latest on the Exascale Computing Project.
Computer scientist Maya Gokhale appreciates the unpredictability and rapid pace of change in her chosen field. “You never know where computing is going to go, and that’s what’s exciting about it,” she says.