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New partnership to unleash U.S. supercomputing resources in the fight against COVID-19
March 26, 2020 -
The White House announced the launch of the COVID-19 High Performance Computing Consortium to provide COVID-19 researchers worldwide with access to the world’s most powerful high performance computing resources that can significantly advance the pace of scientific discovery in the fight to stop the virus. Read more at LLNL News.
DSI sponsors LLNL hackathon
Feb. 18, 2020 -
Since 2012, Lawrence Livermore National Laboratory’s (LLNL’s) Computing directorate has held hackathons three times a year. These spring, summer, and fall events are scheduled over 24 hours and invite software teams to work on new ideas, programming languages, open-source tools, or project tasks. Exploration and experimentation are highly encouraged, and “It’s OK to fail” is the event mantra...
Machine learning accelerates high-performance materials development
Feb. 13, 2020 -
Lawrence Livermore National Laboratory (LLNL) and its partners rely on timely development and deployment of diverse materials to support a variety of national security missions. However, materials development and deployment can take many years from initial discovery of a new material to deployment at scale. Now, an interdisciplinary team of LLNL researchers from the Physical and Life Sciences...
Can machine learning improve computer models enough to ignite internal confinement fusion?
Jan. 28, 2020 -
Laser-fusion researchers have turned to machine-learning techniques to seek the combinations of laser pulse characteristics and target design needed to optimize target implosions for inertial confinement fusion. Machine learning has tripled the fusion yield of the simpler direct-drive approach being studied with the OMEGA laser at the University of Rochester. In principle, the Rochester...
LLNL-led team awarded Best Paper at SC19 for modeling cancer-causing protein interactions
Nov. 22, 2019 -
A panel of judges at the International Conference for High Performance Computing, Networking, Storage and Analysis (SC19) on Thursday awarded a multi-institutional team led by Lawrence Livermore National Laboratory computer scientists with the conference’s Best Paper award. The paper, entitled “Massively Parallel Infrastructure for Adaptive Multiscale Simulations: Modeling RAS Initiation...
Department of Energy researchers share data management strategies at first-ever “Data Day”
Nov. 11, 2019 -
It’s become something of a mantra of the digital age: Data is the new currency. Especially in science, where it’s hard to find a single project that doesn’t involve generating or consuming massive amounts of data.
In light of the growing awareness of the critical importance of data management across the Department of Energy complex, more than 100 researchers from DOE national laboratories...
Big data illuminates the physical sciences
Nov. 6, 2019 -
Livermore teams are applying innovative data analysis and interpretation techniques to advance fundamental science research. This article describes projects in astrophysics and materials science. Read more at Science & Technology Review.
Lab leads effort to model proteins tied to cancer
Oct. 31, 2019 -
Computational scientists, biophysicists and statisticians from LLNL and Los Alamos National Laboratory(LANL) are leading a massive multi-institutional collaboration that has developed a machine learning-based simulation for next-generation supercomputers capable of modeling protein interactions and mutations that play a role in many forms of cancer. Read more at LLNL News.
LLNL team achieves largest graph analytics to date
Oct. 28, 2019 -
Besides broad usage in the tech industry, graph analytics also have national security applications, where algorithms dig through massive datasets to find anomalies or patterns of nefarious activity. It’s in that vein that an LLNL team of computer scientists and applied mathematicians, including Roger Pearce, Geoffrey Sanders, postdoc Benjamin Priest and visiting scholar Trevor Steil, searched...
Successful simulation and visualization coupling proves the power of Sierra
Oct. 22, 2019 -
As the first National Nuclear Security Administration (NNSA) production supercomputer backed by GPU- (graphics processing unit) accelerated architecture, Sierra’s acquisition required a fundamental shift in how scientists at Lawrence Livermore National Laboratory (LLNL) program their codes to take advantage of the GPUs.
The majority of Sierra’s computational power—95 percent of its 125...
Learning about learning: reading group discusses advancements in AI
Oct. 2, 2019 -
Teams from around Lawrence Livermore conduct research using artificial intelligence, and the Data Science Institute’s (DSI’s) Machine Learning Reading Group serves as a resource for employees to keep one another apprised of developments in this ever-changing field.
The group meets weekly to share and discuss new literature on machine learning and deep learning, subsets of artificial...
Cindy Gonzales forges a new career in data science
Sept. 25, 2019 -
Through LLNL’s Data Science Immersion Program, Gonzales is now among the Lab’s newest data scientists. For two and a half years, she juggled a demanding workload—coordinating Computing’s Scholar Program, interning with data scientists, learning from mentors, supporting LLNL’s Data Science Institute, and attending college part time—while also having her first child. Read more at LLNL Computing...
Collaboration drives data science workshop
Sept. 12, 2019 -
Lawrence Livermore National Laboratory’s (LLNL’s) Data Science Institute (DSI) hosted its second annual workshop on July 23–24, 2019. Co-sponsored by the University of California (UC) system, the event drew more than 200 participants to Garré Winery in Livermore. A common theme ran throughout both days: Collaboration is always welcome.
Indeed, feedback from last year’s workshop inspired a...
LLNL presentation at KDD Conference women’s luncheon (VIDEO)
Aug. 15, 2019 -
The DSI co-sponsored the women's lunch at the 2019 Conference on Knowledge Discovery and Data Mining. Alyson Fox and Amanda Minnich discussed LLNL's diversity and inclusion efforts. Watch on LLNL's YouTube channel.
New open-air facility will be testing ground for autonomous drones, vehicles and robots
July 25, 2019 -
LLNL’s new OS-150 Robotics Laboratory is an outdoor, 8,000 square-foot enclosure that will serve as a proving ground for the autonomous drones, vehicles and robots of the future. Informally known as the "drone pen," the 50-foot-tall rectangular enclosure, located directly across from one of the Lab’s main engineering buildings, is allowing operators to pilot their drones safely and...
Protecting image classification in artificial intelligence
July 8, 2019 -
To address vulnerability concerns in image classification, a new subfield of machine learning has emerged called adversarial machine learning, which focuses on the security of machine learning algorithms. Thomas Hogan, a doctoral student of mathematics at UC Davis, spent his summer investigating this new area of research during the National Science Foundation’s Mathematical Sciences Graduate...
Hyperion Research announces new winners of HPC Innovation Excellence Awards
June 18, 2019 -
Hyperion Research announced the 14th round of recipients of the HPC Innovation Excellence Award at the ISC19 supercomputer industry conference in Frankfurt, Germany. Led by Brian Spears, an LLNL team used the Trinity supercomputer to seek out successful modes of laser-driven fusion implosions by building an enormous database for supervised training of a machine learned surrogate...
NFL comes to Lab to hear latest on TBI research
June 5, 2019 -
Officials from the National Football League visited LLNL to hear how the Department of Energy’s national laboratories are using high-performance computing and artificial intelligence to advance scientific understanding of traumatic brain injury (TBI). Read more at LLNL News.
Speech generation: siblings collaborate on machine learning hackathon project
May 28, 2019 -
The first recording that brothers Sam and Joe Eklund, along with their colleague Travis Chambers, played for the audience was a validation.
“I endorse Travis as president of the United States of America,” the audio clip played, in a voice resembling Barack Obama’s.
The second, in the same voice, was a declaration: “Ice is back, our brand new invention” (from the song “Ice Ice Baby” by...
How machine learning could change science
April 29, 2019 -
Artificial intelligence tools are revolutionizing scientific research and changing the needs of high-performance computing. LLNL has been exploiting the relationship between simulation and experiments to build predictive codes using machine learning and data analytics techniques. Read more at Data Center Dynamics.