News
Berkeley Lab Receives Multiple 2021 HPCwire Awards
Berkeley Lab, NERSC, the Joint Genome Institute, and ESnet have been recognized by the annual HPCwire Readers’ and Editors’ Choice Awards for outstanding achievements in 2021. Read More »
NERSC Researcher Part of Gordon Bell Prize Finalist Collaboration
Rahulkumar Gayatri, an application performance specialist at NERSC, is co-author on a paper that is a finalist for the Gordon Bell Prize to be awarded at SC21. Read More »
David Brown to Step Down as AMCR Division Director in Early 2022
David Brown, who has served as the research division director in Berkeley Lab’s Computing Sciences Area for more than a decade, will step down in early 2022. Read More »
How a Novel Radio Frequency Control System Enhances Quantum Computers
A team of physicists and engineers at Lawrence Berkeley National Laboratory (Berkeley Lab) successfully demonstrated the feasibility of low-cost and high-performance radio frequency modules for qubit controls at room temperature. Read More »
Berkeley Lab Computing Sciences to Share New Research, Innovations at SC21
As they have for nearly three decades, Berkeley Lab Computing Sciences Area (CSA) staff will share their expertise with the global HPC community at this year’s Supercomputing Conference (SC21), which takes place November 14-19. Read More »
How AMReX is Influencing the Exascale Landscape
Andrew Myers — a computer systems engineer in Berkeley Lab’s Center for Computational Sciences and Engineering and a member of the AMReX core development team — looks at the influence of the AMReX software framework on a broad spectrum of scientific applications, both within ECP and outside the ECP program. Read More »
Summer Students Use AMReX to Study Cancer Cell Migration
As part of Berkeley Lab's 2021 Computing Sciences Summer Program, a team of undergrads led by senior scientist Ann Almgren got a little closer to understanding how groups of cancer cells may respond to different kinds of forces. Read More »
Deep Learning Tactics Speed Quantum Simulations
Berkeley Lab and UC Berkeley researchers are using an AI technique called reinforcement learning to optimize quantum simulations and speed the time it takes to create and test different quantum architecture designs. Read More »
New Alvarez Fellow Eyes New Applications for Math and ML
Osman Malik, the newest Berkeley Lab Alvarez Fellow, joined the the Applied Math and Computational Research Division's Scalable Solvers Group on September 1. Read More »
Raising the Bar in Error Characterization for Qutrit-Based Quantum Computing
A team of experimental physicists at the Advanced Quantum Testbed (AQT) at Lawrence Berkeley National Laboratory (Berkeley Lab) demonstrated an error characterization method—randomized benchmarking (RB)—on a superconducting qutrit quantum processor. Read More »