Cerebras: Wafer Scale Engine Outperforms Frontier Supercomputer on Molecular Dynamics Simulations

SUNNYVALE, Calif. – May 15, 2024 – Accelerated generative AI chip company Cerebras Systems, in collaboration with researchers from Sandia, Lawrence Livermore, and Los Alamos National Laboratories, said it has acheved a breakthrough in molecular dynamics (MD) simulations using the second generation Cerebras Wafer Scale Engine (WSE-2). Researchers performed atomic scale simulations at the millisecond […]

Announcing insideHPC’s New National Lab News Portal

Today marks the launch of insideHPC’s new National Lab News portal, a service for the HPC community that highlights and aggregates the use of HPC technologies at supercomputing centers in the United States and around the world. You can access the portal by clicking on the header in the insideHPC navigation bar, (“National Lab News”), articles will be listed….

Livermore Lab Researchers Win 3 R&D 100 Awards

The award winners include a software suite that helps apply deep learning techniques to science and data challenges in cancer research; software that helps better understand the power, energy and performance of supercomputers; and a number format that permits fast, accurate data compression for modern supercomputer applications.

LLNL: 9,000 Exascale Nodes for Power Grid Optimization

Ensuring the nation’s electrical power grid can function with limited disruptions in the event of a natural disaster, catastrophic weather or a manmade attack is a key national security challenge. Compounding the challenge of grid management is the increasing amount of renewable energy sources such as solar and wind that are continually added to the […]

Livermore Lab Team Boosts Trust in AI for Science by Making Machine Learning Explainable

As machine learning techniques become increasingly used in the sciences, a team of researchers in Lawrence Livermore National Laboratory’s Computing and Physical and Life Sciences directorates are trying to provide a reasonable starting place for scientists who want to apply machine learning but lack a strong ML background. The goal is to help users understand […]

LLNL Director Kim Budil Named to Fast Company’s List of Most Creative People in Business

July 6, 2023 — Lawrence Livermore National Laboratory (LLNL) Director Kim Budil has been selected by Fast Company as one of the Most Creative People in Business for 2023. The annual list, in its 15th year, recognizes individuals making an impact in society via daring achievements in their chosen fields, from tech to design to healthcare. Budil was selected […]

El Capitan Supercomputer Installation at Livermore Has Begun

With pictures to prove it, Lawrence Livermore National Laboratory announced today it has begun receiving and installing components for El Capitan, what is expected to be the third exascale-class supercomputer in the U.S. The laboratory shared photos on social media today. Projected to exceed 2 exaflops, El Capitan will likely be the most powerful supercomputer […]

A-Alpha Bio and Livermore Lab Expand ML Collaboration on Antibody Discovery and Biothreats

SEATTLE, May 16, 2023 — A-Alpha Bio, a synthetic biology and machine learning company that measures and engineers protein-protein interactions, and Lawrence Livermore National Laboratory (LLNL) today announced a collaboration to combat multiple pathogen families of concern. To enable this work, A-Alpha Bio has been awarded an additional $2.4 million sub-contract from the Joint Program Executive […]

Sandia, Los Alamos, Livermore, NNSA and AMD Collaborate on Stockpile Mission

ALBUQUERQUE, N.M. — Sandia National Laboratories, in partnership with Los Alamos and Lawrence Livermore national labs, has awarded a contract to AMD that funds research and development of advanced memory technologies expected to accelerate high-performance simulation and computing applications in support of the nation’s stockpile stewardship mission. The National Nuclear Security Administration’s Advanced Simulation and Computing […]

LLNL and Korea Institute of Science and Technology to collaborate

Livermore, CA — Leaders at Lawrence Livermore National Laboratory (LLNL) and the Korea Institute of Science and Technology (KIST) have signed a memorandum of understanding (MOU) to collaborate on basic science and technology in the renewable energy, climate science, data science and characterizations arenas. Under the MOU, KIST will have office space in the Livermore […]