LLNL Computing’s ground-breaking research and development activities, innovative technologies, and world-class staff are often featured in various media outlets.
Source: LLNL News
LLNL’s Mohror honored with prestigious technical computing award
The Association for Computing Machinery's (ACM) Special Interest Group on High Performance Computing (SIGHPC) has awarded Kathryn Mohror with its prestigious Emerging Woman Leader in Technical Computing (EWLTC) Award.
Awards Exascale Fault Tolerance and Resilience HPC Systems and Software Performance, Portability, and Productivity Storage, File Systems, and I/O
Source: LLNL News
Lab scientists win R&D 100 awards
An optics element team and two open-source software teams (UMap and UnifyFS) are LLNL's winners of this year's awards.
Source: LLNL Computing
Measuring failure risk and resiliency in AI/ML models
A CASC researcher and collaborators study model failure and resilience in a paper accepted to the 2024 International Conference on Machine Learning.
AI/ML Data Science Deep Learning ML Theory UQ and Statistics
Source: LLNL Computing
Measuring attack vulnerability in AI/ML models
LLNL researchers study model robustness in a paper accepted to the 2024 International Conference on Machine Learning.
Source: LLNL News
LLNL, DOD, NNSA dedicate Rapid Response Laboratory and supercomputing system to accelerate biodefense
The collaboration has enabled expanding systems of the same architecture as LLNL’s upcoming exascale supercomputer, El Capitan, featuring AMD’s cutting-edge MI300A processors.
AI/ML Biology/Biomedicine Computational Science Data Science Emerging Architectures HPC Systems and Software
Source: Science & Technology Review
Understanding the changing climate
Ensuring researchers and policymakers can predict and prepare for the long-term effects of a changing climate is a central, motivating question for the Energy Exascale Earth System Model (E3SM) project.
Source: LLNL Computing
Evaluating trust and safety of large language models
In two papers from the 2024 International Conference on Machine Learning, Livermore researchers investigate how LLMs perform under measurable scrutiny.
AI/ML Data Compression Data Science ML Theory Natural Language Processing
Source: LLNL Computing
SIGGRAPH recognizes LLNL scientist and collaborators with Best Paper Award
Developed by LLNL, Colorado, and Purdue researchers, a new approach eases the implementation of curved geometries into computing simulations.
Awards Collaborations Computational Math Mathematical Optimization Scientific Visualization
Source: Data Science Institute
ISCP projects make machine learning advantages tangible
To keep employees abreast of the latest tools, two data science–focused projects are under way as part of Lawrence Livermore’s Institutional Scientific Capability Portfolio.
AI/ML Cloud Services Data Science Education HPC Systems and Software Information Technology Scientific Cloud Computing
Source: Department of Energy
Department of Energy announces FASST initiative
The proposed Frontiers in Artificial Intelligence for Science, Security and Technology (FASST) initiative will advance national security; attract and build a talented workforce; harness AI for scientific discovery; address energy challenges; develop technical expertise necessary for AI governance.
AI/ML Collaborations Computational Science Data Science Scientific ML
Source: LLNL Computing
CASC Newsletter | Vol 14 | June 2024
This issue highlights some of CASC’s contributions to the DOE's Exascale Computing Project.
AI/ML Computational Science Data Compression Data Movement and Memory Data Science Deep Learning Exascale HPC Systems and Software Open-Source Software Scientific ML Seismology
Source: YouTube
Video: The surprising places you’ll find machine learning
LLNL is applying ML to real-world applications on multiple scales. Researchers explain why water filtration, wildfires, and carbon capture are becoming more solvable thanks to groundbreaking data science methodologies on some of the world’s fastest computers.
AI/ML Climate Computational Science Critical Infrastructure Data Science Multimedia Scientific ML
Source: LLNL Computing
Matrix unloaded: GPU-boosted solvers for diffusion physics
Developed by LLNL and Portland State University researchers, innovative matrix-free solvers offer performance gains for complex multiphysics simulations.
Collaborations Computational Math Computational Science Discrete Mathematics Hydrodynamics PDE Methods Solvers
Source: LLNL Computing
Symposium paper formally verifies whether linear systems will converge
A new method defines a formal specification for convergence, which can be used to derive a set of machine-checkable conditions to guarantee a convergent solution to a differential equation.
Source: LLNL News
LLNL and BridgeBio announce trials for supercomputing-discovered cancer drug
In a milestone for supercomputing-aided drug design, LLNL and BridgeBio Oncology Therapeutics today announced clinical trials have begun for a first-in-class medication that targets specific genetic mutations implicated in many types of cancer.
Biology/Biomedicine CogSim/AI/ML Hardware Collaborations Computational Science Data Science Emerging Architectures HPC Systems and Software Scientific ML
Source: Science & Technology Review
Evolving at the speed of exascale
Bugs, broken codes, or system failures require added time for troubleshooting and increase the risk of data loss. LLNL has addressed failure recovery by developing the Scalable Checkpoint/Restart (SCR) framework.
Awards Exascale Fault Tolerance and Resilience HPC Systems and Software Open-Source Software Storage, File Systems, and I/O
Source: Science & Technology Review
S&TR cover story: The Laboratory’s habit of innovation
LLNL’s HPC capabilities play a significant role in international science research and innovation, and Lab researchers have won 10 R&D 100 Awards in the Software–Services category in the past decade.
AI/ML Awards Biology/Biomedicine Computational Science Data Compression Data Science Exascale HPC Systems and Software Open-Source Software Power Management Programming Languages and Models Scientific ML
Source: LLNL News
DOE, LLNL take center stage at inaugural AI expo
Held May 7–8 in Washington, DC, the Special Competitive Studies Project (SCSP) AI Expo showcased groundbreaking initiatives in AI and emerging technologies. Kim Budil and other Lab speakers presented at center stage and the DOE exhibition booth.
Source: YouTube
Video: Supercomputer problems you’ve never heard of
Two LLNL teams have come up with ingenious solutions to a few of the more vexing difficulties. For their efforts, they’ve won awards coveted by scientists in the technology fields.
Awards Data Compression Data Science Exascale HPC Systems and Software Multimedia Open-Source Software Performance, Portability, and Productivity Power Management
Source: LLNL Computing
The lab that launched a thousand software projects
Release the codes! With a dynamic developer community and a long history of encouraging open-source software, LLNL has reached quadruple-digit GitHub offerings.
Collaborations Open-Source Software Software Applications Software Engineering Software Libraries
Source: High Performance Computing Innovation Center
Register for HPC tutorials in August
Learn how to use a modern, open-source HPC software stack! Throughout August, join our tutorials on how to install and use several projects on AWS EC2 instances. No previous experience is necessary, and everyone is welcome.
Education Events HPC Systems and Software Open-Source Software Outreach Scientific Cloud Computing Software Engineering Software Libraries
Source: LLNL Computing
Dream Day brings Girls Who Code students to the Lab
The event gave local middle schoolers a taste of what computer scientists do at the Lab.
Source: LLNL News
Former Lawrence fellow Amanda Randles awarded 2023 ACM Prize in Computing
Randles, a former Lawrence fellow and current LLNL collaborator, was recognized for “groundbreaking contributions to computational health through innovative algorithms, tools and high performance computing methods for diagnosing and treating a variety of human diseases.”
Source: LLNL News
LLNL honored as one of Glassdoor's 2024 'Best-Led Companies'
This award honors companies with exceptional senior leadership teams that go above and beyond to redefine the employee experience.
Source: YouTube
Video: How will El Capitan run?
Discover how the software architecture and storage systems that will drive El Capitan’s performance will help LLNL and the NNSA Tri-Labs push the boundaries of computational science.
Emerging Architectures Exascale HPC Systems and Software Multimedia Open-Source Software Performance, Portability, and Productivity Resource and Workflow Management Software Build and Installation Software Libraries Storage, File Systems, and I/O