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LLNL Reports on Inaugural ML for Industry Forum

LLNL held its first-ever Machine Learning for Industry Forum (ML4I) on Aug. 10-12. Co-hosted by the Lab’s High Performance Computing Innovation Center (HPCIC) and Data Science Institute (DSI), the virtual event brought together more than 500 participants from the Department of Energy (DOE) complex, commercial companies, professional societies and academia. Industry sponsors included ArcelorMittal, Cerebras Systems, Ford Motor Company, […]

DOE Funds $13M Project for Adapting Scientific Software for HPC

A project involving researchers at Lawrence Livermore National Laboratory (LLNL) and national lab and academic collaborators has received U.S. Department of Energy (DOE) funding as part of an effort to adapt scientific software for next-generation high-performance computing (HPC) systems. The project is a collaboration among LLNL, the University of Utah (lead investigator Ganesh Gopalakrishnan and Pavel Panchekha), Pacific Northwest National Laboratory […]

Krell Institute Launches ‘Science in Parallel’ Podcast Focusing on Computational Science Innovators

AMES, IOWA – The Krell Institute is launching Science in Parallel, a podcast highlighting people and projects at the interface of science and computing. The first season features scientists who use computers to design alternative energy strategies, zero in on the chemistry of molecular surfaces, build quantum control algorithms and more. Along the way, listeners also will […]

American Meteorological Society to Present Zelinka with Houghton Award

The Council of the American Meteorological Society (AMS) has selected atmospheric scientist Mark Zelinka of Lawrence Livermore National Laboratory (LLNL) to receive the Henry G. Houghton Award. Zelinka was cited by AMS for “innovative advances in understanding the critical involvement of clouds to achieve a better understanding of climate interactions.” According to AMS, the Henry G. Houghton […]

SC21 Will Remain In-person/Virtual Hybrid, Says Conference General Chair de Supinski

Amid rumors that SC21 is on the verge of shifting to an all-virtual format due to the COVID-19 pandemic, conference General Chair Bronis de Supinski told us today that the rumors are unfounded: SC21 will be an in person/virtual hybrid gathering. “There’s nothing to (the rumors),” de Supinski said. He added that he and several […]

Using WRF at LLNL to Simulate Nuclear Cloud Rise

For decades, understanding the behavior of a nuclear mushroom cloud was done with careful analysis of observations made during the testing era. Old photos, outdated film and incomplete weather data made precise calculations difficult. Now, with results published in Atmospheric Environment, Lawrence Livermore National Laboratory (LLNL) scientists are improving our understanding of nuclear cloud rise using a […]

LLNL Names Bradley Wallin to Lead Weapons and Complex Integration

Aug. 10, 2021 — Bradley Wallin has been named Lawrence Livermore National Laboratory’s (LLNL’s) principal associate director (PAD) for Weapons and Complex Integration (WCI), Lab Director Kimberly Budil announced today. In this role, Wallin will lead the laboratory’s nuclear weapons program in its responsibilities to support U.S. strategic deterrence by assuring the safety, security and […]

Registration Open for LLNL-sponsored Industrial ML Forum

Registration is open through July 29 for the first Machine Learning for Industry Forum (ML4I), a three-day virtual event starting Tuesday, Aug. 10. The event is sponsored by Lawrence Livermore National Laboratory’s High Performance Computing Innovation Center and the Data Science Institute. The forum aims to foster adoption of machine learning methods for practical industrial […]

Quantum Errors Not Random, Tied to Cosmic Rays, Researchers Say

Research by a Lawrence Livermore National Laboratory (LLNL) physicist and a group of collaborators is shedding light on one of the major challenges to realizing the potential of quantum computing — error correction. In a new paper published in Nature and co-authored by LLNL physicist Jonathan DuBois, scientists examined quantum computing stability, particularly what causes errors and […]

LLNL, IBM and Red Hat to Explore Standardized Resource Management Interface for Cloud HPC

Lawrence Livermore National Laboratory (LLNL), IBM and Red Hat are combining to develop best practices for interfacing high-performance computing (HPC) schedulers and cloud orchestrators, an effort designed for supercomputers that take advantage of cloud technologies. Under a recently signed memorandum of understanding (MOU), the organizations said researchers aim to enable next-generation workloads by integrating LLNL’s […]