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
LLNL featured as a top STEM workplace by AISES
LLNL was honored by the American Indian Science and Engineering Society (AISES) Winds of Change magazine as one of the Top 50 STEM Workplaces in 2021, as an organization setting the standard for indigenous STEM professionals.

Source: Department of Energy
DOE blog celebrates Asian Pacific American Heritage Month
The Department of Energy recently published a blog post celebrating Asian Pacific American Heritage Month, featuring LLNL Computing employee Jeene Villanueva.

Source: Data Science Institute
Video: DSI virtual seminar series debuts on YouTube
The Data Science Institute's seminar series has transitioned to a virtual format, and a playlist of recently recorded seminars is available on the Livermore Lab Events YouTube channel.

Source: LLNL News
Conference papers highlight importance of data security to machine learning
The 2021 Conference on Computer Vision and Pattern Recognition features two papers co-authored by an LLNL researcher targeted at understanding robust machine learning models.
AI/ML Computational Math Computer Vision Data Science Deep Learning ML Theory

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 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.
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.
Co-Design 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 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 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 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 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