LLNL Computing’s ground-breaking research and development activities, innovative technologies, and world-class staff are often featured in various media outlets.
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 Fault Tolerance and Resilience HPC Systems and Software PDE Methods Performance, Portability, and Productivity Programming Languages and Models UQ and Statistics
Source: HPCwire
Livermore’s El Capitan supercomputer to debut HPE ‘Rabbit’ near node local storage
A near node local storage innovation called Rabbit factored heavily into LLNL’s decision to select Cray’s proposal for its CORAL-2 machine, the lab’s first exascale-class supercomputer, El Capitan.
Emerging Architectures HPC Architectures HPC Systems and Software Near Memory Computing Resource and Workflow Management Software Engineering Storage, File Systems, and I/O
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 News
Lab researchers explore ‘learn-by-calibration’ approach to deep learning
An LLNL team has developed a “Learn-by-Calibrating” method for creating powerful scientific emulators that could be used as proxies for far more computationally intensive simulators.
Computational Math Data Science Deep Learning ML Theory Scientific ML
Source: LLNL News
Lab makes Glassdoor’s 2021 list of ‘Best Places to Work’
For the third consecutive year, LLNL has been honored with a Glassdoor Employees’ Choice Award, recognizing the Best Places to Work in 2021.
Source: LLNL News
LLNL computer scientist heads award-winning computer vision research
An LLNL-led team developed a new kind of prior—a characterization of the space of natural images—for compressive image recovery that is trained on patches of images instead of full-sized images.
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: 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 HPC Systems and Software Hybrid/Heterogeneous Hydrodynamics Lasers and Optics Materials Science Mathematical Optimization PDE Methods Solvers
Source: LLNL Computing
CASC Newsletter | Vol 6 | August 2018
Highlights include CASC director Jeff Hittinger's vision for the center as well as recent work with PruneJuice DataRaceBench, Caliper, and SUNDIALS.
Computational Math Data Science Debugging and Correctness HPC Architectures HPC Systems and Software ODE Methods Open-Source Software Programming Languages and Models Resource and Workflow Management Solvers
Source: LLNL Computing
CASC Newsletter | Vol 5 | April 2018
Highlights include the latest work with RAJA, the Exascale Computing Project, algebraic multigrid preconditioners, and OpenMP.
Compiler Technology Computational Math Computational Science HPC Architectures HPC Systems and Software Hybrid/Heterogeneous Hydrodynamics PDE Methods Performance, Portability, and Productivity Power Management Programming Languages and Models
Source: LLNL Computing
CASC Newsletter | Vol 4 | January 2018
Highlights include complex simulation codes, uncertainty quantification, discrete event simulation, and the Unify file system.
Compiler Technology Computational Math Computational Science Discrete Mathematics HPC Systems and Software Resource and Workflow Management Storage, File Systems, and I/O UQ and Statistics
Source: LLNL Computing
CASC Newsletter | Vol 3 | October 2017
Highlights include recent LDRD projects, Livermore Tomography Tools, our work with the open-source software community, fault recovery, and CEED.
AI/ML Co-Design Computational Math Computational Science Data Science Deep Learning Discrete Mathematics Fault Tolerance and Resilience HPC Architectures HPC Systems and Software Hybrid/Heterogeneous Open-Source Software Resource and Workflow Management Software Build and Installation
Source: LLNL Computing
CASC Newsletter | Vol 2 | July 2017
Highlights include the directorate's annual external review, machine learning for ALE simulations, CFD modeling for low-carbon solutions, seismic modeling, and an in-line floating point compression tool.
AI/ML Computational Math Computational Science Data Compression Data Science Discrete Mathematics Hydrodynamics Open-Source Software Seismology
Source: LLNL Computing
CASC Newsletter | Vol 1 | April 2017
Highlights include the HYPRE library, recent data science efforts, the IDEALS project, and the latest on the Exascale Computing Project.
AI/ML Algorithms at Scale Biology/Biomedicine Computational Math Computational Science Data Science Data-Driven Decisions HPC Architectures HPC Systems and Software Hybrid/Heterogeneous Open-Source Software Solvers