Among the honorees was the Exascale Computing Project leadership team, which successfully delivered the 7-year, $1.8 billion collaboration among six DOE national laboratories.
Topic: Exascale
Hundreds of current and former LLNL employees, government officials, and industry leaders gathered on January 9 to mark a monumental achievement: the dedication of El Capitan, the world’s fastest supercomputer.
The event marked a monumental achievement with the acceptance and deployment of the first exascale computing system built for the NNSA, a historic milestone in national security and scientific computing recognizing the collaborative efforts of government, industry and scientific leaders.
SC24, held recently in Atlanta, was a landmark event, setting new records and demonstrating LLNL's unparalleled contributions to HPC innovation and impact.
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.
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.
LLNL is participating in the 36th annual Supercomputing Conference (SC24) in Atlanta on November 17–22, 2024.
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.
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.
Listen to the latest Big Ideas Lab podcast episode on LLNL supercomputing! This article contains links to the podcast on Spotify and Apple.
The Association for Computing Machinery's (ACM) Special Interest Group on High Performance Computing (SIGHPC) has awarded Kathryn Mohror with its prestigious Emerging Woman Leader in Technical Computing (EWLTC) Award.
This issue highlights some of CASC’s contributions to the DOE's Exascale Computing Project.
Collecting variants in low-level hardware features across multiple GPU and CPU architectures.
Two LLNL teams have come up with ingenious solutions to a few of the more vexing difficulties. For their efforts, they’ve won awards coveted by scientists in the technology fields.
Bugs, broken codes, or system failures require added time for troubleshooting and increase the risk of data loss. LLNL has addressed failure recovery by developing the Scalable Checkpoint/Restart (SCR) framework.
LLNL’s HPC capabilities play a significant role in international science research and innovation, and Lab researchers have won 10 R&D 100 Awards in the Software–Services category in the past decade.
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.
The Tools Working Group delivers debugging, correctness, and performance analysis solutions at an unprecedented scale.
Compilers translate human-programmable source code into machine-readable code. Building a compiler is especially challenging in the exascale era.
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.
Backed by Spack’s robust functionality, the Packaging Working Group manages the relationships between user software and system software.
The advent of accelerated processing units presents new challenges and opportunities for teams responsible for network interconnects and math libraries.