Topic: Awards

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.

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.

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.

A team of current and former LLNL and IBM scientists won the annual “Test of Time” award at the 2020 Supercomputing Conference on November 19 for a paper outlining LLNL’s Blue Gene/L supercomputer.

The Association for Women in Mathematics has named computational scientist Carol Woodward as a 2021 fellow, recognizing her commitment to supporting and advancing women in the mathematical sciences.

A team of LLNL computer scientists and a collaborator from Argonne National Laboratory (ANL) won the Best Paper Award at the International Workshop on OpenMP (IWOMP) 2020 in September.

CASC researcher Harsh Bhatia thrives in the Lab’s versatile research environment. “At the Lab, no two problems are the same. Therefore, as a team, researchers deliver hundreds of new data science solutions each year. We are very fortunate to have access to many high-impact projects so we can really make a difference with our data science or data analysis solutions," he says.

In this issue featuring LLNL's R&D 100 Award winners from 2019, the versatile Scalable Checkpoint/Restart framework offers more reliable simulation performance.

In this issue featuring LLNL's R&D 100 Award winners from 2019, software deployment is faster and easier with the Spack package management tool.

Lawrence Livermore National Lab has named Stefanie Guenther as Computing’s fourth Sidney Fernbach Postdoctoral Fellow in the Computing Sciences. This highly competitive fellowship is named after LLNL’s former Director of Computation and is awarded to exceptional candidates who demonstrate the potential for significant achievements in computational mathematics, computer science, data science, or scientific computing.

LLNL bested more than two dozen teams to place first overall in Challenge 1 of the DOE Grid Optimization Competition, aimed at developing a more reliable, resilient, and secure U.S. electrical grid.

The Summit Sierra team, consisting of 45 staff at LLNL and ORNL, received a DOE Secretary’s Achievement Award for delivering, respectively, Sierra and Summit supercomputers.

LLNL has been honored for the second year with a Glassdoor Employees’ Choice Award, recognizing the Laboratory as one of the top 10 best places to work nationwide in 2020.

The 2019 International Conference for High Performance Computing, Networking, Storage, and Analysis—SC19—returned to Denver. Once again LLNL made its presence known as a force in supercomputing.

The paper describes the workflow driving a first-of-its-kind multiscale simulation on predictively modeling the dynamics of RAS proteins and interactions with lipids.

The HPCwire Editors’ and Readers’ Choice awards for Top Supercomputing Achievement recognized Cray, LLNL, and two other labs for developing the first U.S. exascale-class supercomputers.

The latest TOP500 List of the world's most powerful computers was released at the International Supercomputing Conference for HPC, Networking, Storage and Analysis (SC19) in Denver.

Three LLNL teams, including the Spack package manager, netted regional awards for technology transfer from the Federal Laboratory Consortium (FLC) last week.

Of the Lab's four R&D 100 Award winners for 2019, two are open-source software projects: SCR and Spack.

Alan Noun, a computer science student at CSU East Bay and the recipient of the Livermore Lab Foundation's first full-year scholarship, is an intern at LLNL’s Data Science Summer Institute.

LLNL researchers have posted another standout year securing major grants through the DOE's Technology Commercialization Fund, including one for the Radiation Field Training Simulator.

The HPC4EI program announced 9 public/private projects awarded more than $2 million from the DOE. This program is the umbrella entity for the HPC4Mfg and HPC4Mtls programs, headed out of LLNL.