Topic: Awards

Computer scientist Johannes Doerfert was recognized as a 2023 BSSw fellow. He plans to use the funding to create videos about best practices for interacting with compilers.

The ACM recognized him for his contributions to the design of large-scale systems and their programming systems and software.

The 2022 International Conference for High Performance Computing, Networking, Storage, and Analysis (SC22) returned to Dallas as a large contingent of LLNL staff participated in sessions, panels, paper presentations and workshops centered around HPC.

The prestigious award is handed out every two years and recognizes outstanding contributions to the development and use of mathematical and computational tools and methods for the solution of science and engineering problems.

Two LLNL-led teams received SciVis Test of Time awards at the 2022 IEEE VIS conference for papers that have achieved lasting relevancy in the field of scientific visualization.

Presented at the 2022 International Conference on Computational Science, the team’s research introduces metrics that can improve the accuracy of blood flow simulations.

Computer scientist Kathryn Mohror is among LLNL's recipients of the Department of Energy’s Early Career Research Program awards.

The latest issue of the Lab's Science & Technology Review magazine highlights Todd Gamblin among other EMCR Program awardees.

Winning the best paper award at PacificVis 2022, a research team has developed a resolution-precision-adaptive representation technique that reduces mesh sizes, thereby reducing the memory and storage footprints of large scientific datasets.

The American Indian Science and Engineering Society (AISES) Winds of Change magazine has named LLNL as one of the Top 50 STEM Workplaces in 2022. This marks the second consecutive year that LLNL has been honored as an organization setting the standard for indigenous STEM professionals.

LLNL's DMTS awards program offers advancement for scientific leaders who choose the research track over the management ladder. Read more about computational mathematician Rob Falgout.

The prize recognizes "broad and distinguished contributions to the field of algorithms research and development for parallel scientific and engineering computing."

The Department of Energy's Office of Science interviewed LLNL computer scientist Peter Lindstrom about his work since receiving the 2011 Early Career Award.

The Oppenheimer Science and Energy Leadership Program has selected LLNL computer scientist Kathryn Mohror and materials scientist T. Yong Han as 2022 fellows.

SC21's inaugural Best Reproducibility Advancement Award went to an LLNL team for a benchmark suite aimed at simplifying the evaluation process of approximation techniques for scientific applications.

The renowned worldwide competition announced the winners of the 2021 R&D 100 Awards, among them LLNL's Flux workload management software framework in the Software/Services category.

As Computing’s fifth Fernbach Fellow, postdoctoral researcher Steven Roberts will develop, analyze, and implement new time integration methods.

The renowned worldwide competition announced the finalists for the 2021 R&D 100 Awards, among them LLNL's Flux workload management software framework in the Software/Services category.

In this episode (32:00), LLNL's Jeff Hittinger talks about scientific success, leadership, and the tricks he’s cultivated for communicating science to broader audiences through the Livermore Ambassador Lecture series.

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.

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.

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.

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.

For the third consecutive year, LLNL has been honored with a Glassdoor Employees’ Choice Award, recognizing the Best Places to Work in 2021.

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.