LLNL Computing’s ground-breaking research and development activities, innovative technologies, and world-class staff are often featured in various media outlets.
Source: Science & Technology Review
Revolutionizing quantum science
Livermore’s advances in quantum science research present new paradigms for computing, direct simulation, studying complex quantum phenomena, and unprecedented precision in sensing.
Source: LLNL Computing
Simulating liver surgeries with virtual reality
A virtual reality training platform allows liver surgeons to prepare and train outside of the operating room.
Source: LLNL Computing
SC24 event calendar
LLNL is participating in the 36th annual Supercomputing Conference (SC24) in Atlanta on November 17–22, 2024.
AI/ML Awards Computational Math Computational Science Data Science Diversity Emerging Architectures Events Exascale HPC Architectures HPC Systems and Software Hybrid/Heterogeneous Open-Source Software Outreach Performance, Portability, and Productivity Programming Languages and Models Scientific ML Software Build and Installation
Source: LLNL News
Breaking the ICE: ICECap looks to use exascale fusion simulations to pioneer digital design
A groundbreaking multidisciplinary team is combining the power of exascale computing with AI, advanced workflows, and GPU acceleration to advance scientific innovation and revolutionize digital design.
AI/ML Computational Science Data Science Emerging Architectures Exascale HPC Architectures HPC Systems and Software Lasers and Optics Scientific ML
Source: Hewlett Packard Enterprise
Video: Update on the El Capitan supercomputer
Learn about the game-changing potential of El Capitan and discover how it will not only transform HPC and AI but also revolutionize scientific research across multiple domains.
AI/ML Computational Science Data Science Emerging Architectures Exascale HPC Systems and Software Multimedia Scientific ML
Source: High Performance Computing Innovation Center
Video: HPC tutorials playlist updated for 2024
Follow along at your own pace through tutorials of several open-source HPC software projects.
Computational Math Computational Science HPC Systems and Software Multimedia Open-Source Software
Source: LLNL News
Big Ideas Lab podcast episode details history of LLNL supercomputing
Listen to the latest Big Ideas Lab podcast episode on LLNL supercomputing! This article contains links to the podcast on Spotify and Apple.
Emerging Architectures Exascale HPC Architectures HPC Systems and Software Hybrid/Heterogeneous Multimedia
Source: LLNL News
HPC4Mfg workshop gathers innovators for collaborative discussions
The event attracted more than 60 attendees from diverse sectors and featured discussions aimed at fostering new collaborations with various DOE offices and national labs.
Computational Science Emerging Architectures Events HPC Systems and Software Materials Science Outreach
Source: LLNL News
DOE honors seven early-career Lab scientists
Among them is Shusen Liu, a computer scientist in the Machine Intelligence Group in the Center for Applied Scientific Computing.
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