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
Lab team completes highest-ever resolution quake simulations using Sierra
An LLNL team has published new simulations of a magnitude 7.0 earthquake on the Hayward Fault—the highest-ever resolution ground motion simulations from such an event on this scale.
Source: LLNL News
Using models, 3D printing to study common heart defect
LLNL researchers and collaborators have combined machine learning, 3D printing, and HPC simulations to accurately model blood flow in the aorta.
Source: Science & Technology Review
Resiliency in computer applications
In this issue featuring LLNL's R&D 100 Award winners from 2019, the versatile Scalable Checkpoint/Restart framework offers more reliable simulation performance.
Awards Fault Tolerance and Resilience HPC Systems and Software Open-Source Software
Source: Science & Technology Review
Software installation simplified
In this issue featuring LLNL's R&D 100 Award winners from 2019, software deployment is faster and easier with the Spack package management tool.
Awards HPC Systems and Software Open-Source Software Software Build and Installation
Source: YouTube.com
Video: Advancing healthcare with data science
This video provides an overview of LLNL projects in which data scientists work with domain scientists to address major challenges in healthcare.
Biology/Biomedicine Computational Science Data Science Multimedia
Source: Next Platform TV
AI acceleration: a Next Platform TV interview
Ian Karlin on AI hardware integration into HPC systems, workflows, followed by a talk about software integration of AI accelerators in HPC with Brian Van Essen.
Source: LLNL News
LLNL papers accepted into prestigious conference
Two papers featuring LLNL scientists were accepted in the 2020 International Conference on Machine Learning (ICML), one of the world’s premier conferences of its kind.
Source: LLNL News
Lockdown doesn’t hinder annual Data Science Challenge
In this year's Data Science Challenge with UC Merced, 21 students developed machine learning models capable of differentiating potentially explosive materials from other types of molecules.
Source: YouTube.com
Video: MFEM - advanced simulation algorithms for HPC applications
This video describes MFEM (Modular Finite Element Methods), an open-source software library that provides advanced mathematical algorithms for use by scientific applications.
Computational Math Discrete Mathematics Multimedia Open-Source Software
Source: LLNL News
Manufacturing, Energy Initiative to fund 11 new projects
In the HPC4EI project, LLNL and OxEon Energy will reduce the number of reactor tubes used to convert natural gas to liquid fuel, to lower cost and increase performance of synthetic fuel production.
Source: LLNL News
Lab breaks ground for exascale facility upgrades
Scheduled for completion in 2022, the project will expand the Livermore Computing Center's power and cooling capacity in preparation for exascale supercomputing hardware.
Source: LLNL News
Deep learning models outperform simulators, could hasten scientific discoveries
Surrogate models supported by neural networks could lead to new insights in complicated physics problems such as inertial confinement fusion.
Computational Science Data Science Deep Learning Scientific ML
Source: LLNL Computing
Computing partners with environmental programs at the Lab
Computing employees play a critical role in supporting the Environmental Restoration Department; Environment, Safety, and Health; and Radioactive and Hazardous Waste Management.
Source: LLNL Computing
ISC20 event calendar
LLNL participates in the digital ISC High Performance Conference (ISC20) on June 22 to 25.
Source: Exascale Computing Project
Podcast: The MFEM finite element library broadens GPU support
The Center for Efficient Exascale Discretizations recently released MFEM v4.1, which introduces features important for the nation’s first exascale supercomputers. LLNL's Tzanio Kolev explains.
Computational Math Discrete Mathematics HPC Systems and Software Hybrid/Heterogeneous Multimedia Open-Source Software
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 HPC Systems and Software Open-Source Software Performance, Portability, and Productivity Resource and Workflow Management
Source: The Next Platform
Cooling Magma is a challenge that Lawrence Livermore can take on
LLNL's latest HPC system, aptly nicknamed “Magma," delivers 5.4 petaflops of peak performance crammed into 760 compute nodes.
Source: LLNL News
Lab team studies AI and DL models to reliably diagnose and treat disease
An LLNL-led team proposes a DL approach aimed at improving the reliability of classifier models for predicting disease types from diagnostic images.
AI/ML Biology/Biomedicine Computational Science Data Science Deep Learning ML Theory
Source: LLNL News
AI identifies change in microstructure in aging materials
LLNL scientists have taken a step forward in the design of future materials with improved performance by analyzing its microstructure using artificial intelligence.
Source: LLNL News
COVID-19 research goes public through new portal
To help accelerate discovery of therapeutic antibodies or antiviral drugs for SARS-CoV-2, LLNL has launched a searchable data portal to share its COVID-19 research with scientists and the public.
Biology/Biomedicine Computational Science Data Management Data Science Information Technology Software Engineering Web Technologies
Source: Data Skeptic
Podcast: Interpretable AI in healthcare
LLNL's Jay Thiagarajan joins the Data Skeptic podcast to discuss his recent paper "Calibrating Healthcare AI: Towards Reliable and Interpretable Deep Predictive Models." The episode runs 35:50.
AI/ML Biology/Biomedicine Computational Science Data Science ML Theory Multimedia
Source: Better Scientific Software
Working remotely: the Spack team
Elaine Raybourn interviews LLNL's Todd Gamblin about the Spack project's experience working remotely.
HPC Systems and Software Open-Source Software Software Build and Installation
Source: LLNL News
Lab devises plan to reduce defects in 3D metal printing
Combining computer simulations with ultra-high-speed X-ray imaging, LLNL researchers have discovered a way to reduce defects in parts built through a laser-based metal 3D-printing process.
Source: insideHPC
Video: Incorporation of machine learning into scientific simulations at LLNL
In this video from the Stanford HPC Conference, Katie Lewis presents "The Incorporation of Machine Learning into Scientific Simulations at Lawrence Livermore National Laboratory."
AI/ML Computational Science Data Science Multimedia Scientific ML
Source: Data Science Institute
Building knowledge and insights using machine learning of scientific articles
An LLNL team developed ML tools that extract and structure information from the text and figures of nanomaterials articles using NLP, image analysis, computer vision, and visualization techniques.
AI/ML Computational Science Data Science Data-Driven Decisions Materials Science