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Hot spots

Molecular dynamics simulations predict that more potential energy is localized in hotspots than their kinetic energy (or temperature) would suggest.

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El capitan supercomputer

Molecular dynamics simulations predict that more potential energy is localized in hotspots than their kinetic energy (or temperature) would suggest.

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El Capitan Future System

A near-node local storage innovation called Rabbit factored heavily into Lawrence Livermore National Laboratory’s decision to select Cray’s proposal for its CORAL-2 machine, the lab’s first exascale-class supercomputer, El Capitan. 

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IEEE, the world's largest technical professional organization, announced it has elevated Bronis de Supinski to the rank of fellow, recognizing LLNL's Livermore Computing chief technology officer (CTO) for his leadership in the design and use of large-scale computing systems.

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Screenshot of Robin in interview mode

To get a sense of the size and scope of the storage systems in use at Lawrence Livermore, we had a long conversation recently with Robin Goldstone, HPC strategist in the Advanced Technologies Office at Lawrence Livermore.

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Sierra image

Sierra was one of six Lawrence Livermore National Laboratory supercomputers to make the latest TOP500 List of the most-powerful supercomputers in the world. Sierra held on to the No. 3 spot, achieving 94.6 petaflops on the High Performance LINPACK (HPL) benchmark.

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Spack logo

Spack is now the deployment mechanism for the world’s top supercomputer with its Arm base, Fugaku, and has been and 1300 packages on the Summit machine were handled by Spack. It is expected to get further momentum with the future exascale systems as well.

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Ruby Supercomputer

Lawrence Livermore National Lab has been at the forefront of newer architectures over the last year in particular across multiple systems: Mammoth, expanded Corona, Lassen with Cerebras chip, and Ruby, a top 100-class all CPU (Intel Platinum) super.

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Ruby Supercomputer

Lawrence Livermore National Laboratory’s newest supercomputer, Ruby, a 6 petaflop Intel Xeon Platinum-based cluster, will be used for unclassified programmatic work in support of the National Nuclear Security Administration’s stockpile stewardship mission, open science and the search for therapeu

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Code Together Podcast

Listen to what’s coming in OpenMP 5.1 and beyond, how the C++ ecosystem is evolving, why Python in HPC, and have fun as these two razz each other.

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SC20

The scientific computing and networking leadership of 17 Department of Energy (DOE) national laboratories will be showcased at SC20, the International Conference for High-Performance Computing, Networking, Storage and Analysis, taking place Nov.

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Mammoth

Funded by the Coronavirus Aid, Relief and Economic Security Act, Lawrence Livermore's new 'big memory'  performance computing cluster, Mammoth, will be used to perform genomics analysis, nontraditional simulations and graph analytics required by scientists working on COVID-19, including the devel

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SJEYH conference screen shot with John Gyllenhaal in the foreground

The San Joaquin Expanding Your Horizon’s Conference went virtual for the first time in its 28-year history. Pictured, LC's John Gyllenhaal presents The Magic of STEM workshop.

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Samba Nova on the expanded Corona system

LLNL has installed a new artificial intelligence accelerator from SambaNova Systems into the Corona supercomputing cluster, allowing Lab researchers to run scientific simulations for inertial confinement fusion, COVID-19 and other basic science, while offloading AI calculations from those simulat

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Corona Supercomputer

Funding by the CARES Act enabled LLNL and industry partners to more than double the speed of the Corona supercomputing cluster to in excess of 11 petaflops of peak performance.

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Visualization, described in article summary

To understand exactly how metals respond to high-rate compression in molecular dynamics simulations, LLNL scientists use novel methods of in silico microscopy to reveal defects in the crystal lattice (green and red line objects and gray surface objects at the top) while removing all the atoms (ye

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PSSAP logo

Lawrence Livermore National Laboratory (LLNL) will provide significant computing resources to students and faculty from nine universities that were newly selected for participation in the NNSA’s Predictive Science Academic Alliance Program (PSAAP). 

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3 lab's logos on puzzle piece: Berkeley, Oak Ridge, Livermore

When it comes to solving complex technical issues for GPU-accelerated supercomputers, the national labs have found that tackling them is “better together”

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Spack podcast episode header

An interview with Todd Gamblin from the Lawrence Livermore National Laboratory about the Spack project, discussing his current research project along with his involvement in Spack. 

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Shown is a simulation of arterial blood flow using HARVEY, a fluid dynamics software developed by Lawrence Fellow Amanda Randles. Visualization by Liam Krauss/LLNL.

Lawrence Livermore researchers and collaborators have combined machine learning, 3D printing and high performance computing simulations to accurately model blood flow in the aorta.

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By combining simulations with high-speed videos taken during the laser powder-bed fusion process, LLNL scientists were able to visualize the ductile-to-brittle transition in 3D-printed tungsten in real-time.

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Cerebras installation

LLNL and Cerebras Systems have installed the company’s CS-1 artificial intelligence (AI) computer into Lassen, making LLNL the first institution to integrate the cutting-edge AI platform with a large-scale supercomputer.

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Simulated strength of shaking from a magnitude 7.0 Hayward Fault earthquake showing peak ground velocity (colorbar) and seismograms (blue) at selected locations (triangles).

Simulated strength of shaking from a magnitude 7.0 Hayward Fault earthquake showing peak ground velocity (colorbar) and seismograms (blue) at selected locations (triangles).

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2 researchers with GEM

LLNL physicist Alison Saunders and doctoral fellow Marco Echeverria meet online to discuss their progress enhancing codes used during high-energy experiments.

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Screenshot of Nicole introducing Ian Karlin as talk show guest

Dr. Ian Karlin (Livermore National Lab) on AI hardware integration into HPC systems, workflows, followed by a talk about software integration of AI accelerators in HPC with Dr. Brian Van Essen (LLNL)