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
Advanced Data Analytics for Proliferation Detection shares technical advances
The ADAPD program held a virtual meeting to highlight science-based, data-driven analysis work to advance AI innovation and AI-enabled systems to enhance the U.S. nuclear proliferation detection activities.
Source: YouTube
Video: The U.S. Exascale Computing Project
In a talk recorded for the 2020 LLNL Computing Virtual Expo, Computing principal deputy associate director and ECP deputy director Lori Diachin describes the ECP’s goals and the Laboratory's role.
Co-Design Collaborations HPC Architectures HPC Systems and Software Hybrid/Heterogeneous Outreach
Source: LLNL Computing
A winning strategy for deep neural networks
New research debuting at ICLR 2021 demonstrates a learning-by-compressing approach to deep learning that outperforms traditional methods without sacrificing accuracy.
AI/ML Computational Math Data Science Deep Learning ML Theory Scientific ML
Source: LLNL News
LLNL, IBM, Red Hat join forces to explore HPC resource management interface
LLNL, IBM, and Red Hat will develop best practices for interfacing HPC schedulers and cloud orchestrators in preparation for supercomputers that use cloud technologies.
Collaborations HPC Systems and Software Open-Source Software Resource and Workflow Management
Source: Krell Institute
Lawrence Livermore computational scientist is 2021 Corones Award honoree
Jeffrey A.F. Hittinger, a computational scientist at LLNL, is the 2021 recipient of the James Corones Award in Leadership, Community Building and Communication from the Krell Institute.
Source: LLNL News
Lab offers forum on machine learning for industry
LLNL is looking for participants and attendees from industry, research institutions and academia for the first-ever Machine Learning for Industry Forum (ML4I), a three-day virtual event starting Aug. 10.
AI/ML Data Science Events HPC Architectures HPC Systems and Software
Source: Science & Technology Review
S&TR cover story: The exascale software portfolio
The latest issue of LLNL's Science & Technology Review magazine showcases Computing in the cover story alongside a commentary by Bruce Hendrickson.
Collaborations Computational Math Data Movement and Memory Discrete Mathematics Emerging Architectures HPC Architectures HPC Systems and Software Hybrid/Heterogeneous Open-Source Software Performance, Portability, and Productivity Software Applications Software Engineering Software Libraries
Source: Data Center Dynamics
Corona vs coronavirus: AMD and Penguin Computing to upgrade LLNL supercomputer
LLNL has turned to AMD and Penguin Computing to upgrade a supercomputer to help in the fight against the novel coronavirus. The computer's name is... Corona.
Biology/Biomedicine Collaborations Computational Science HPC Architectures HPC Systems and Software
Source: LLNL Computing
CASC Newsletter | Vol 10 | April 2021
Highlights include scalable deep learning, high-order finite elements, data race detection, and reduced order models.
AI/ML Biology/Biomedicine Computational Math Computational Science Data Science Data-Driven Decisions Debugging and Correctness Deep Learning Discrete Mathematics HPC Systems and Software Hydrodynamics Mathematical Optimization Open-Source Software Performance, Portability, and Productivity Power Management Programming Languages and Models Solvers Transport
Source: Exascale Computing Project
HYPRE library brings algebraic multigrid to exascale supercomputers
The hypre team's latest work gives scientists the ability to efficiently utilize modern GPU-based extreme scale parallel supercomputers to address many scientific problems.
Computational Math HPC Architectures HPC Systems and Software Hybrid/Heterogeneous Open-Source Software Solvers
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 Collaborations 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 welcomes 3 DOE national labs to accelerate drug discovery
The ATOM consortium, of which LLNL is part, announced the DOE’s Argonne, Brookhaven, and Oak Ridge national labs are joining the consortium to develop ATOM’s AI-driven drug discovery platform.
AI/ML Biology/Biomedicine Collaborations 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.