News
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 »
Seeing the Web of Microbes
Researchers from Berkeley Lab have built an interactive, web-based data visualization tool to observe how organisms transform their environments through the increase and decrease of metabolites — enabling scientists to quickly see patterns in microbial food webs. Read More »
New Computational Biosciences Group Aims to Build on Lab Strengths, Break Down Barriers
A new group in Berkeley Lab’s Computational Research Division (CRD) aims to tap into the lab's expertise in both computing and biosciences, crossing organizational lines to create an integrated team to develop new tools for addressing a range of scientific problems. “It's no secret that Berkeley Lab is a hotbed of computing and bioscience — just look at our research facilities like NERSC, JGI, JBEI and ESnet,” said computational neuroscientist Kris Bouchard, acting leader of the new… Read More »
New Employee Profiles: January/February
Brief profiles of Computing Sciences staff who recently joined NERSC, CRD and ESnet. Read More »
ClimateNet Aims to Improve Machine Learning Applications in Climate Science On a Global Scale
Berkeley Lab researchers are developing ClimateNet, a project that will bring the power of deep learning methods to identify important weather and climate patterns via expert-labeled, community-sourced open datasets and architectures. Read More »
Mobiliti: A Game Changer for Analyzing Traffic Congestion
Berkeley Lab researchers have developed a software tool that uses supercomputing resources at the National Energy Research Scientific Computing Center to accurately simulate traffic flow throughout the San Francisco Bay Area road networks and provide estimates of the associated congestion, energy usage, and productivity loss. Read More »