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.
Lawrence Livermore National Laboratory (LLNL) and the United Kingdom’s governing body for scientific research on Monday announced the signing of a new three-year agreement aimed at improving U.S. and U.K.
The Department of Energy (DOE (link is external)) on Feb. 1 announced up to $3 million will be available to U.S. manufacturers for public/private projects aimed at applying high performance computing to industry challenges for the advancement of energy innovation.
The Department of Energy’s (DOE) Advanced Manufacturing Office (AMO) today announced the funding of $1.87 million for seven new industry projects under an ongoing initiative designed to utilize DOE’s high-performance computing (HPC) resources and expertise to advance U.S.
The Department of Energy’s (DOE) Office of Fossil Energy (FE) today announced the funding of $450,000 for the first two private-public partnerships under a brand-new initiative aimed at discovering, designing and scaling up production of novel materials for severe environments.
An HPC for Manufacturing project aimed at saving time and money for paper product manufacturers earned an HPC Innovation Excellence Award at the 2017 Supercomputing Conference (SC17 (link is external)) in Denver on Nov. 14.
Work is moving fast and furious in the Livermore Computing Complex at Lawrence Livermore National Laboratory (LLNL), where siting and installation for Sierra, the Lab’s next advanced technology high-performance supercomputer, is kicking into high gear.
Lawrence Livermore National Laboratory (LLNL) researchers won two HPCwire Editor’s Choice awards for their work in applying high-performance computing (HPC) to solve complex challenges. The awards were presented at SC17 in Denver.
Livermore physicist Jon Belof and a team of physicists, engineers, and computational scientists are subjecting matter to extreme conditions and simulating experiments with high-performance computers to study phase transitions at ultrahigh pressures.
Assessing large magnitude (greater than 6 on the Richter scale) earthquake hazards on a regional (up to 100 kilometers) scale takes big machines.
Paper-making research, performed for an HPC4Manufacturing (HPC4Mfg) project with the papermaking giant, Proctor and Gamble, resulted in the largest multi-scale model of paper products to date, simulating thousands of fibers in ParaDyn with resolution down to the micron scale.
Normally, in a large-scale emergency, distributed energy resources (DERs) -- such as the energy produced by solar panels at customers' homes -- are shut off to protect the greater electrical grid.
Sandia researchers modeled the electromagnetics of complex systems on two DOE supercomputers that can solve tens of millions of problems in hours: Trinity (LANL) and Sequoia (LLNL). This research has led to impressive advances in metamaterials research that will boost the substances’ flexibility, efficiency, adaptability and other properties.
The U.S. Department of Energy's High Performance Computing for Manufacturing Program, designed to spur the use of national lab supercomputing resources and expertise to advance innovation in energy efficient manufacturing, is seeking a new round of proposals from industry to compete for $3 million.
In late 2017, IBM will begin delivery of Sierra, the latest in a series of leading-edge Advanced Simulation and Computing (ASC) Program supercomputers.
The DOE's High Performance Computing for Manufacturing (HPC4Mfg) Program aims to advance clean-energy technologies, increase the efficiency of manufacturing processes, accelerate innovation, reduce the time it takes to bring new technologies to market, and improve the quality of products.
Two Penguin Computing systems installed at Lawrence Livermore National Laboratory, Quartz and Jade, were ranked 41st and 42nd on the TOP100 list of the world's fastest supercomputers.
A historic partnership between the Department of Energy (DOE) and the National Cancer Institute (NCI) is applying the formidable computing resources at Livermore and other DOE national laboratories to advance cancer research and treatment.
Dramatically improved first-principles molecular dynamics code promises to enable new computer simulation applications. Presented at SC16, it was a finalist for 2016 Gordon Bell Prize.
ECP selected 35 software development proposals; Livermore computer scientists will lead six of the DOE’s exascale computing projects and are collaborators on another seven.