LLNL Computing’s groundbreaking research and development activities, innovative technologies, and world-class staff are often featured in various media outlets.
Source: LLNL News
De Supinski named one of HPCwire’s People to Watch
The HPC industry publication HPCwire named Bronis R. de Supinski, LLNL’s chief technology officer for Livermore Computing, as one of its People to Watch for 2021.
Source: LLNL News
LLNL’s Falgout named to 2021 Class of SIAM Fellows
SIAM announced its 2021 Class of Fellows, including LLNL computational mathematician Rob Falgout. Falgout is best known for his development of multigrid methods and for hypre, one of the world’s most popular parallel multigrid codes.
Source: Data Science Institute
Virtual seminar series explores data-driven physical simulations
Led by computational scientist Youngsoo Choi, the Data-Driven Physical Simulation reading group has been meeting biweekly since October 2019. The pandemic almost disbanded the group... until it turned into a virtual seminar series.
AI/ML Computational Science Data Science Data-Driven Decisions Multimedia
Source: HPCwire
AI Systems Summit keynote: Brace for system level heterogeneity says de Supinski
In his opening keynote address at the AI Systems Summit, LLNL CTO Bronis de Supinski described integration of two AI-specific systems to achieve system level heterogeneity.
AI/ML CogSim/AI/ML Hardware Data Science Emerging Architectures HPC Architectures HPC Systems and Software
Source: LLNL News
COVID-19 HPC Consortium reflects on past year
COVID-19 HPC Consortium scientists and stakeholders met virtually to mark the consortium’s one-year anniversary, discussing the progress of research projects and the need to pursue a broader organization to mobilize supercomputing access for future crises.
Biology/Biomedicine Computational Science HPC Systems and Software
Source: Supercomputing 2021
Meet six trailblazing women in HPC
In recognition of March as International Women’s History Month, SC21 profiled six women doing trailblazing work, including LLNL's Hiranmayi Ranganathan.
Biology/Biomedicine Careers Computational Science Data Science Diversity HPC Systems and Software
Source: HPCwire
ATOM Consortium welcomes 3 DOE national labs to accelerate drug discovery
The Accelerating Therapeutics for Opportunities in Medicine consortium, of which LLNL is part, announced the U.S. Department of Energy’s Argonne, Brookhaven and Oak Ridge national labs are joining the consortium to further develop ATOM’s AI-driven drug discovery platform.
AI/ML Biology/Biomedicine Computational Science Data Science Scientific ML
Source: Data Science Institute
Winter hackathon highlights data science talks and tutorial
The Data Science Institute sponsored LLNL’s 27th hackathon on February 11–12. Organizers offered a deep learning tutorial and presentations showcasing data science techniques.
Source: LLNL News
Research uncovers missing physics in explosive hotspots
Research conducted on the Quartz supercomputer highlights findings made by scientists that reveal a missing aspect of the physics of hotspots in TATB and other explosives.
Source: LLNL News
Lab event encourages growth of women in data science
Coinciding with International Women’s Day on March 8, LLNL’s 4th Women in Data Science (WiDS) regional event brought women together to discuss successes, opportunities and challenges of being female in a mostly male field.
Source: The Next Platform
Livermore converges a slew of new ideas for exascale storage
CTO Bronis de Supinski discusses the integrated storage strategy of the future El Capitan exascale supercomputing system, which will have in excess of 2 exaflops of raw computing power spread across nodes.
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 News
Villanueva shares path to growth at diversity summit
Jeene Villanueva, LLNL computer scientist and group leader, represented the Lab at the 2021 Lab Manager Diversity Digital Summit, "Building Better Labs: Diversity, Equity and Inclusion."
Source: Frontiers of Engineering
Ana Kupresanin featured in FOE alumni spotlight
LLNL's Ana Kupresanin, CASC deputy director and member of the Data Science Institute council, was recently featured in a Frontiers of Engineering alumni spotlight. FOE is run by the National Academy of Engineering nonprofit organization.
Source: LLNL News
'Self-trained' deep learning to improve disease diagnosis
LLNL and IBM research on deep learning models to accurately diagnose diseases from x-ray images won the Best Paper award for Computer-Aided Diagnosis at the SPIE Medical Imaging Conference.
Awards Biology/Biomedicine Computational Science Data Science Deep Learning
Source: Virginia Tech
Ghaleb Abdulla named a Virginia Tech computer science notable alumni
As part of the 50th anniversary of Virginia Tech’s computer science department, the university is featuring active and dynamic alumni—including LLNL computer scientist Ghaleb Abdulla.
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 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 machine learning 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
Lawrence Livermore computer scientist heads award-winning computer vision research
A team led by LLNL 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: HPCwire
Scientists tap the power of HPC in a bet to understand cancer growth
A multi-institutional team including LLNL is using Summit, America’s fastest supercomputer, to understand how certain proteins signal body cells to reproduce uncontrollably, triggering cancer.
Source: LLNL News
LLNL’s de Supinski earns prestigious IEEE Fellowship
IEEE, the world's largest technical professional organization, has named Livermore Computing CTO Bronis de Supinski to its 2021 Class of Fellows for his leadership in large-scale computing systems.
Source: LLNL News
NeurIPS papers aim to improve understanding and robustness of machine learning algorithms
The 34th Conference on Neural Information Processing Systems features two papers advancing the reliability of deep learning for mission-critical applications at LLNL.
Source: LLNL News
Girls Who Code ‘Big’ program goes virtual
The first-ever virtual Girls Who Code – "Big" program (a collaboration between LLNL, the Livermore Lab Foundation, and the Livermore Valley Joint Unified School District) recently wrapped up.