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.
During a panel on different cooling solutions, Lawrence Livermore National Laboratory systems engineer Chris DePrater detailed the lab's plans for the B453 Simulation Facility, used to run nuclear weapons simulations as part of the NNSA's Stockpile Stewardship program.
LLNL’s Lassen joined Sierra in the top 10 of the TOP500 list of the world’s most powerful supercomputers, announced at the 2019 International Supercomputing Conference in Frankfurt, Germany.
LLNL and the Livermore Lab Foundation may establish a consortium to leverage the Lab’s computing capabilities to identify causal factors for amyotrophic lateral sclerosis, or Lou Gehrig’s disease.
Next-generation computing systems are projected to surpass the speed of today's supercomputers by 5–10 times. This article explains OpenMP-relevant initiatives under the Exascale Computing Project.
LLNL researchers have optimized a code that models the human heartbeat for next-generation, GPU-based supercomputers, with an eye on developing it for clinical settings.
Officials from the National Football League visited Lawrence Livermore National Laboratory (LLNL) recently to hear how the Department of Energy’s (DOE) national laboratories are using high-performance computing and artificial intelligence to advance scientific understanding of traumatic brain inj
LLNL computer scientist Stephen Herbein was a student volunteer during his first SC conference. Now he's on the planning committee.
Fred Streitz explains LLNL's work to exploit the relationship between simulation and experiments to build predictive codes.
LLNL physicists designing new laser systems and modeling laser performance now have a powerful new tool in their hands with the Virtual Beam Line++ (VBL++) code.
Computer scientists, biomedical engineers, cancer biologists and bioinformaticians from eight Department of Energy (DOE) national laboratories, health-related government agencies and universities converged at Lawrence Livermore National Laboratory (LLNL) March 6-7 to discuss ongoing efforts to ad
A Lawrence Livermore National Laboratory (LLNL) team has successfully deployed a widely used power distribution grid simulation software on a high-performance computing (HPC) system, demonstrating substantial speedups and taking a key step toward creating a commercial tool that utilities could us
DOE issued its first joint solicitation for the High Performance Computing for Manufacturing Program (HPC4Mfg) and the High Performance Computing for Materials Program (HPC4Mtls).
On November 13, 2018, the high performance computing publication HPCwire awarded Lawrence Livermore Laboratory (LLNL) and Oak Ridge National Laboratory (ORNL) their Editors’ Choice and Readers’ Choice Awards for the Top Supercomputing Achievement of 2018, recognizing the launch of the wo
Lawrence Livermore National Laboratory, in partnership with Penguin Computing, AMD and Mellanox Technologies, will accept delivery of Corona, a new unclassified high-performance computing (HPC) cluster that will provide unique capabilities for Lab researchers and industry partners to explore data
Sierra, Lawrence Livermore National Laboratory’s newest supercomputer, rose to second place on the list of the world’s fastest computing systems, TOP500 List representatives announced November 12, 2018, at the Internati
Sierra, one of the fastest supercomputers in the world, will serve the National Nuclear Security Administration’s three nuclear security laboratories, providing high-fidelity simulations in support of NNSA’s core mission of ensuring the safety, security and effectiveness of the nation’s nuclear s
A team of scientists and physicists headed by LLNL and LBNL has been named as one of six finalists for the prestigious 2018 Gordon Bell Award, one of the world’s top honors in supercomputing. They were supported in this work by the Sierra Integration Team of Livermore Computing.
A multi-institutional team of scientists and engineers plan to simultaneously challenge DOE’s supercomputing resources, advance artificial intelligence capabilities and enable a precision medicine approach for TBI.
The team participating in the latest study developed a way to improve their calculations of gA using an unconventional approach and supercomputers at ORNL and LLNL.
In an audio discussion, HI Director Terri Quinn (Lawrence Livermore National Laboratory) describes how HI performs its mission and what its top goals are.
LLNL researchers are using HPC codes and systems to transform how engineers create complex parts with additive manufacturing technologies.
After four years of development, the Energy Exascale Earth System Model (E3SM) will be released to the broader scientific community this month.
DOE Secretary Rick Perry announces the release of a request for proposals for development of new exascale supercomputers, including LLNL's El Capitan.
Machine learning models developed at LLNL in conjunction with Kaiser Permanente can more accurately characterize a patient's progression through the stages of sepsis.