LLNL Computing’s ground-breaking research and development activities, innovative technologies, and world-class staff are often featured in various media outlets.
Source: Exascale Computing Project
The Flux supercomputing workload manager
The Livermore Computing–developed Flux project addresses challenges posed by complex scientific research supercomputing workflows.
Exascale HPC Systems and Software Open-Source Software Resource and Workflow Management
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.
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."
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.
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
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.
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.
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
Source: LLNL Computing
CASC Newsletter | Vol 11 | December 2021
Highlights include power grid challenges, performance analysis, complex boundary conditions, and a novel multiscale modeling approach.
AI/ML Biology/Biomedicine Computational Math Computational Science Critical Infrastructure Data Science HPC Systems and Software Mathematical Optimization Open-Source Software Performance, Portability, and Productivity Transport UQ and Statistics
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
Source: LLNL Computing
SC21 event calendar
LLNL is participating in the 33rd annual Supercomputing Conference (SC21), which will be held both virtually and in St. Louis on November 14–19, 2021.
Data Science Deep Learning Emerging Architectures Events HPC Systems and Software
Source: LLNL Computing
MFEM team hosts first community workshop
The MFEM software library provides high-order mathematical algorithms for large-scale scientific simulations. An October workshop brought together MFEM’s global user and developer community for the first time.
Computational Math Computational Science Discrete Mathematics Events Exascale Open-Source Software Outreach PDE Methods Software Libraries
Source: LLNL Computing
Just DO IT: new internship program introduces students to DevOps
Computing’s newest internship program focuses on DevOps methodologies. The inaugural class of 2021 built a persistent data services provisioning application that will soon assist real Livermore Computing users.
DevOps Diversity SDLC Methodologies Software Applications Software Engineering Students
Source: LLNL Computing
GHC21: Grace Hopper Celebration
Many LLNL women and allies attend Grace Hopper Celebration every year to learn, to network, and to be inspired.
Source: LLNL Computing
Summer hackathon tradition continues virtually
Each new season brings another hackathon, and Computing’s 2021 summer event took place on August 12–13.
Hackathons HPC Systems and Software Programming Languages and Models Software Applications Software Engineering Students Web Technologies
Source: LLNL Computing
Dev Day makes the most of virtual format
Held virtually on July 15, our fifth annual Developer Day featured lightning talks, a technical deep dive, “quick takes” on remote-development resources, presentations about career paths, and a career development panel discussion.
Careers Events Open-Source Software Software Applications Software Engineering Software Libraries Web Technologies
Source: LLNL Computing
Career panel series kicks off with women in Computing leadership roles
More than 100 LLNL staff and students gathered virtually for the first session of a new career panel series inspired by the annual Women in Data Science conference and sponsored by the Data Science Institute.
Source: LLNL Computing
ISC21 event calendar
LLNL participates in the digital ISC High Performance Conference (ISC21) on June 24 through July 2.
Events HPC Systems and Software Performance, Portability, and Productivity Software Build and Installation
Source: LLNL Computing
A winning strategy for deep neural networks
New research debuting at ICLR 2021 demonstrates a learning-by-compressing approach to deep learning that outperforms traditional methods without sacrificing accuracy.
AI/ML Computational Math Data Science Deep Learning ML Theory Scientific ML
Source: LLNL Computing
CASC Newsletter | Vol 10 | April 2021
Highlights include scalable deep learning, high-order finite elements, data race detection, and reduced order models.
AI/ML Biology/Biomedicine Computational Math Computational Science Data Science Data-Driven Decisions Debugging and Correctness Deep Learning Discrete Mathematics HPC Systems and Software Hydrodynamics Mathematical Optimization Open-Source Software Performance, Portability, and Productivity Power Management Programming Languages and Models Solvers Transport
Source: LLNL Computing
SIAM CSE21 event calendar
Our researchers will be well represented at the virtual SIAM Conference on Computational Science and Engineering (CSE21) on March 1–5. SIAM is the Society for Industrial and Applied Mathematics with an international community of more than 14,500 individual members.
Algorithms at Scale Computational Math Computational Science Data Science Deep Learning Discrete Mathematics Exascale Fault Tolerance and Resilience HPC Systems and Software PDE Methods Performance, Portability, and Productivity Programming Languages and Models UQ and Statistics
Source: LLNL Computing
CASC research in ML robustness debuts at AAAI conference
Three papers address feature importance estimation under distribution shifts, attribute-guided adversarial training, and uncertainty matching in graph neural networks.
AI/ML Computational Math Data Science Deep Learning ML Theory Scientific ML UQ and Statistics
Source: LLNL Computing
CASC Newsletter | Vol 9 | June 2020
Highlights include response to the COVID-19 pandemic, high-order matrix-free algorithms, and managing memory spaces.
AI/ML Biology/Biomedicine Computational Math Computational Science Critical Infrastructure Cyber Security Data Movement and Memory Data Science Deep Learning Discrete Mathematics Emerging Architectures Events HPC Systems and Software Open-Source Software Performance, Portability, and Productivity Resource and Workflow Management
Source: LLNL Computing
CASC Newsletter | Vol 8 | August 2019
Highlights include perspectives on machine learning and artificial intelligence in science, data driven models, autonomous vehicle operations, and the OpenMP standard 5.0.
AI/ML Computational Math Computational Science Data Science Data-Driven Decisions Debugging and Correctness Deep Learning HPC Systems and Software Hydrodynamics ML Theory Programming Languages and Models Scientific ML Scientific Visualization
Source: LLNL Computing
CASC Newsletter | Vol 7 | December 2018
Highlights include debris and shrapnel modeling at NIF, scalable algorithms for complex engineering systems, magnetic fusion simulation, and data placement optimization on GPUs.
Computational Math Computational Science Data Movement and Memory Discrete Mathematics Exascale HPC Systems and Software Hybrid/Heterogeneous Hydrodynamics Lasers and Optics Materials Science Mathematical Optimization PDE Methods Solvers