LLNL Computing’s ground-breaking research and development activities, innovative technologies, and world-class staff are often featured in various media outlets.

Corona supercomputer overlaid with LLNL logo and IPDPS "2022 virtual" logo


Source: LLNL Computing

IPDPS 2022 event calendar

LLNL participates in the International Parallel and Distributed Processing Symposium (IPDPS) on May 30 through June 3.

AI/ML | Computational Math | Data Science | Events | HPC Architectures | HPC Systems and Software | Programming Languages and Models | Resource and Workflow Management | Storage, File Systems, and I/O

square cutaway of rainbow-colored data reconstruction


Source: LLNL Computing

CASC team wins best paper at visualization symposium

Winning the best paper award at PacificVis 2022, a research team has developed a resolution-precision-adaptive representation technique that reduces mesh sizes, thereby reducing the memory and storage footprints of large scientific datasets.

AI/ML | Awards | Computational Math | Data Movement and Memory | Data Science | Discrete Mathematics | HPC Systems and Software | Open-Source Software

screen shot of HPCIC website and two speakers' portraits


Source: LLNL News

HPCIC webinar series to highlight industry engagement and research

LLNL and the United Kingdom’s Hartree Centre are launching a new webinar series intended to spur collaboration with industry through discussions on computational science, HPC, and data science.

Data Science | Events | HPC Systems and Software | Outreach

magazine cover and "top 50 stem awards" text


Source: LLNL News

LLNL honored as a top STEM workplace by AISES ‘Winds Of Change’ Magazine

The American Indian Science and Engineering Society (AISES) Winds of Change magazine has named LLNL as one of the Top 50 STEM Workplaces in 2022. This marks the second consecutive year that LLNL has been honored as an organization setting the standard for indigenous STEM professionals.

Awards | Diversity

supercomputer rack on a dramatic black and gray background


Source: LLNL News

NNSA and Cornelis Networks to collaborate on next-gen high performance networking

Technologies developed through the Next-Generation High Performance Computing Network project are expected to support mission-critical applications for HPC, AI and ML, and high performance data analytics. Applications could include stockpile stewardship, fusion research, advanced manufacturing, climate research and other open science on future ASC HPC systems.

AI/ML | Co-Design | Data Science | HPC Architectures | HPC Systems and Software

ECP logo


Source: Exascale Computing Project

Join ECP birds-of-a-feather days on May 10-12

The Exascale Computing Project (ECP) 2022 Community Birds-of-a-Feather Days will take place May 10–12 via Zoom. The event provides an opportunity for the HPC community to engage with ECP teams to discuss our latest development efforts.

Computational Math | Data Management | Data Science | Events | HPC Architectures | HPC Systems and Software | Hybrid/Heterogeneous | Open-Source Software | Performance, Portability, and Productivity | Programming Languages and Models | Software Build and Installation | Solvers | Storage, File Systems, and I/O

Rob standing in front of the HPC building


Source: Science & Technology Review

Shining a light on technical excellence

LLNL's DMTS awards program offers advancement for scientific leaders who choose the research track over the management ladder. Read more about computational mathematician Rob Falgout.

Awards | Careers | Computational Math

3x5 grid of people in video chat


Source: LLNL News

Livermore WiDS provides forum for women in data science

LLNL celebrated the 2022 Global Women in Data Science conference on March 7 with its 5th annual regional event, featuring workshops, mentoring sessions and a discussion with LLNL Director Kim Budil.

Careers | Data Science | Diversity | Events | Outreach

Olivia and Juanita in video chat with a demo of an ML method


Source: Data Science Institute

Winter hackathon meets WiDS datathon

Sponsored by the DSI, LLNL’s winter hackathon took place on February 16–17. In addition to traditional hacking, the hackathon included a special datathon competition in anticipation of the Women in Data Science (WiDS) conference on March 7.

AI/ML | Data Science | Diversity | Hackathons | Outreach

collage of Flux team members alongside the project logo


Source: Exascale Computing Project

The Flux supercomputing workload manager

The Livermore Computing–developed Flux project addresses challenges posed by complex scientific research supercomputing workflows.

HPC Systems and Software | Open-Source Software | Resource and Workflow Management

WiDS Livermore logo


Source: Data Science Institute

WiDS Livermore returns on March 7

Registration is open until February 27 for LLNL's fifth annual WiDS event in conjunction with the worldwide Women in Data Science conference.

Careers | Data Science | Diversity | Events | Outreach

Rob's portrait on dark background with SIAM logo


Source: LLNL News

Rob Falgout wins SIAM Supercomputing Career Prize

The prize recognizes "broad and distinguished contributions to the field of algorithms research and development for parallel scientific and engineering computing."

Awards | Careers

portrait of Peter on dark background


Source: Department of Energy

Peter Lindstrom: Then and now, 2011 Early Career Award winner

The Department of Energy's Office of Science interviewed LLNL computer scientist Peter Lindstrom about his work since receiving the 2011 Early Career Award.

Awards | Careers | Data Compression | Data Science | Open-Source Software

Yong and Kathryn


Source: LLNL News

LLNL scientists honored as Oppenheimer Science and Energy Leadership fellows

The Oppenheimer Science and Energy Leadership Program has selected LLNL computer scientist Kathryn Mohror and materials scientist T. Yong Han as 2022 fellows.

Awards | Careers

multiscale model of microstructural and atomistic simulations


Source: LLNL News

Breaking down the barriers in all solid-state batteries

A new multiscale model incorporates both microstructural and atomistic simulations to understand barriers to ion transport in solid-state battery materials.

Computational Science | Materials Science

2022 Glassdoor logo with collage of people


Source: LLNL News

LLNL makes Glassdoor’s 2022 ‘Best Places to Work’ list

For the fourth consecutive year, LLNL has been honored with a Glassdoor Employees’ Choice Award, recognizing the Best Places to Work in 2022.

Careers

diagram showing interplay among the macroscale simuluation, the machine learnig selection, and the microsacale simulation


Source: LLNL News

Multiscale model of protein behavior linked to cancer-causing mutations

LLNL researchers and collaborators have developed a highly detailed, ML–backed multiscale model revealing the importance of lipids to RAS, a family of proteins whose mutations are linked to many cancers.

AI/ML | Biology/Biomedicine | Computational Science | Data Science | Open-Source Software

plot showing different colored particle trajectories in the x-z plane in a magnetic mirror


Source: LLNL Computing

AI3 logo overlaid on a collage of science images


Source: LLNL News

LLNL establishes AI Innovation Incubator to advance AI for applied science

LLNL has established the AI Innovation Incubator (AI3), a collaborative hub aimed at uniting experts from LLNL, industry, and academia to advance AI for scientific and commercial applications.

AI/ML | CogSim/AI/ML Hardware | Data Science | Emerging Architectures | Outreach

5x5 grid of participants in video chat, with Kathleen in the middle of the top row


Source: LLNL Computing

Kathleen Shoga leads the way for SC21 Student Cluster Competition

With a history of student participation and committee service, LLNL computer scientist Kathleen Shoga chaired this year’s competition.

Cluster Management | Events | HPC Systems and Software | Outreach | Students

Under a newly funded High Performance Computing for Manufacturing project, Lawrence Livermore National Laboratory will partner with steel and mining company ArcelorMittal to couple computer vision and machine learning methods with HPC resources to reduce emissions and defects from inclusions (oxide, sulfide or nitride particles) in steel manufacturing. Shown is an example of backscattered electron scanning electron microscope images showing different types of inclusions.


Source: LLNL News

HPC4Mfg project targets more energy-efficient steelmaking

An LLNL-led collaboration targeted using machine learning to reduce defects and carbon emissions in steelmaking receives funding through the HPC4Mfg Program.

Computational Science | Materials Science

Bronis at a podium kicking off the conference


Source: LLNL News

First-ever hybrid Supercomputing conference sports strong Lab flavor

For the first time ever, SC21 went hybrid, with dozens of both in-person and virtual workshops, technical paper presentations, panels, tutorials and “birds of a feather” sessions.

Data Science | Emerging Architectures | Events | HPC Systems and Software

portraits of five panelists


Source: Data Science Institute

Career panel spotlights diversity, equity, and inclusion

The Data Science Institute hosted a career panel featuring members of some of LLNL's Employee Resource Groups: Asian Pacific American Council, Amigos Unidos Hispanics in Partnership, Women’s Association, and Abilities Champions.

Careers | Data Science | Diversity

SC21 logo overlaid on photo of St. Louis convention center


Source: LLNL News

LLNL team wins SC21 Reproducibility Advancement Award

SC21's inaugural Best Reproducibility Advancement Award went to an LLNL team for a benchmark suite aimed at simplifying the evaluation process of approximation techniques for scientific applications.

Awards | Events | HPC Systems and Software | Open-Source Software | Performance, Portability, and Productivity