News
Kathy Yelick to Step Down as ALD for Computing Sciences
Associate Lab Director for Computing Sciences Kathy Yelick will step down at the end of 2019. She will focus on her research and teaching while continuing to advise lab leadership on computing sciences issues. Read More »
Envisioning the Future of Machine Learning and Data Analytics
Some 40 early and mid-career applied mathematicians from national labs across the country came together at Lawrence Berkeley National Laboratory (Berkeley Lab) in early April to explore the big, unsolved challenges Department of Energy labs should tackle in the next 10 to 20 years. The gathering also sowed the seeds for future collaborations. Read More »
Searching for Photocathodes that Convert CO₂ into Fuels
CO2 is a promising solution to clean, low-cost, renewable energy, but we need more efficient photocathodes to convert CO2 into fuels. Berkeley Lab researchers and NERSC supercomputing resources helped sift through 70,000 candidate materials to ID some new ones. Read More »
Berkeley Lab Team Using Deep Learning to Help VA Identify Suicide Risk in Veterans
Researchers in Berkeley Lab's Computational Research Division are applying deep learning methods and data analytics to electronic health record data to help the Veterans Administration address a host of medical and psychological challenges affecting many of the nation’s 700,000 military veterans. Read More »
UniviStor: Next-Generation Data Storage for Heterogeneous HPC
The Proactive Data Containers project team at Berkeley Lab is developing object-oriented I/O services designed to simplify data movement, data management, and data reading services on next-generation HPC architectures. Read More »
NESAP Teams Start Prepping Applications for Next-Generation Perlmutter Architecture
NERSC has announced the latest round of NERSC Exascale Science Application Program teams that will focus on simulation, data analysis, and machine learning applications to prepare workloads for NERSC’s next supercomputer, Perlmutter. Read More »
IDAES Process Systems Engineering Software Now Open Source
IDAES has released the first open-source version of its next-generation computational framework and model library, created to optimize the design of process systems engineering solutions used to model advanced energy systems. Read More »
NERSC, NVIDIA to Partner on Compiler Development for Perlmutter System
The National Energy Research Scientific Computing Center has signed a contract with NVIDIA to enhance GPU compiler capabilities for Berkeley Lab’s next-generation Perlmutter supercomputer. Read More »
Ice Sheet Modeling Probes Antarctic Vulnerabilities
The BISICLES ice sheet model uses high performance computing resources at the National Energy Research Scientific Computing Center (NERSC) to systematically examine where the Antarctic Ice Sheet is vulnerable and the resulting potential for large contributions to sea level rise. Read More »
ExaLearn for Surrogates: Making Realistic Simulations on the Cheap
ExaLearn is a new machine learning project supported by DOE’s Exascale Computing Project that is developing new tools to help scientists deal with massive experimental datasets and simulations through the use of machine learning. Read More »