In a groundbreaking development for computational science, a team of Tri-Lab researchers has unveiled a revolutionary approach to molecular dynamics simulations using the Cerebras Wafer-Scale Engine, the world’s largest computer chip.
On the newest episode of the Big Ideas Lab podcast, listeners will go behind the scenes of LLNL's latest groundbreaking achievement: El Capitan, the world’s most powerful supercomputer.
Oxide Cloud Computer installation at Livermore Computing's HPC center modernizes on-premises cloud computing capabilities for general purpose workloads.
Verified at 1.742 exaflops (1.742 quintillion calculations per second) on the High Performance Linpack—the standard benchmark used by the Top500 organization to evaluate supercomputing performance—El Capitan is the fastest computing system ever benchmarked.
The NNSA’s exascale milestone is possible only through successful industry partnerships. Hewlett Packard Enterprise staff share their experiences working with LLNL.
The latest issue of R&D World's magazine showcases LLNL's 2024 winning technologies, including UnifyFS and UMap software projects.
Learn about the game-changing potential of El Capitan and discover how it will not only transform HPC and AI but also revolutionize scientific research across multiple domains.
A groundbreaking multidisciplinary team is combining the power of exascale computing with AI, advanced workflows, and GPU acceleration to advance scientific innovation and revolutionize digital design.
Follow along at your own pace through tutorials of several open-source HPC software projects.
To keep employees abreast of the latest tools, two data science–focused projects are under way as part of Lawrence Livermore’s Institutional Scientific Capability Portfolio.
This issue highlights some of CASC’s contributions to the DOE's Exascale Computing Project.
Release the codes! With a dynamic developer community and a long history of encouraging open-source software, LLNL has reached quadruple-digit GitHub offerings.
Discover how the software architecture and storage systems that will drive El Capitan’s performance will help LLNL and the NNSA Tri-Labs push the boundaries of computational science.
Unveiled at the International Supercomputing Conference in Germany, the June 2024 Top500 lists three systems with identical components as registering 19.65 petaflops on the High Performance Linpack benchmark, ranking them among the world’s 50 fastest.
In a groundbreaking development for addressing future viral pandemics, a multi-institutional team involving LLNL researchers has successfully combined an AI-backed platform with supercomputing to redesign and restore the effectiveness of antibodies whose ability to fight viruses has been compromi
Throughout the workshop, speakers, panelists and attendees focused on algorithm development, the potential dangers of superhuman AI systems and the importance of understanding and mitigating the risks to humans, as well as urgent measures needed to address the risks both scientifically and politi
LLNL participates in the ISC High Performance Conference (ISC24) on May 12–16.
The El Capitan Center of Excellence provides a conduit between national labs and commercial vendors, ensuring that the exascale system will meet everyone’s needs.
The advent of accelerated processing units presents new challenges and opportunities for teams responsible for network interconnects and math libraries.
The Tools Working Group delivers debugging, correctness, and performance analysis solutions at an unprecedented scale.
Backed by Spack’s robust functionality, the Packaging Working Group manages the relationships between user software and system software.
Compilers translate human-programmable source code into machine-readable code. Building a compiler is especially challenging in the exascale era.
The high performance computing publication HPCwire has selected LLNL computer scientist Todd Gamblin as one of its “People to Watch” in HPC for 2024.
The system will enable researchers from the National Nuclear Security Administration weapons design laboratories to create models and run simulations, previously considered challenging, time-intensive or impossible, for the maintenance and modernization of the United States’ nuclear weapons stock