Berkeley Lab researchers will lead a three-year, $12 million effort to create a generalized exascale tool for epidemiological modeling.
The Pagoda Project community model addresses the software development needs of developers who use the PGAS globally shared address space to improve productivity and implement high-performance, scalable models.
AMReX reflects an ECP success in moving an important numerical library to run on DOE GPU-accelerated supercomputers.
Richard Gerber, HPC Department Head and Senior Science Advisor at NERSC, is taking on a new position as Hardware and Integration Director at the Exascale Computing Project, a collaborative effort across DOE labs to support exascale computing.
Advancing surrogate modeling is one of the four main focus areas of ExaLearn, an ECP co-design center bringing machine learning to the forefront of the ECP effort. Learn more about Berkeley Lab’s role in the project’s many achievements.
A collaboration involving scientists and computing resources from Berkeley Lab and the simulation software EQSIM is releasing the most accurate and detailed earthquake simulations to date, which will initially capture earthquake motions across the San Francisco Bay Area and later expand to other regions.
The WarpX team has spent the last six years creating a novel, highly parallel, and highly optimized single-source simulation code for modeling plasma-based particle colliders on cutting-edge exascale supercomputers with broad importance for other accelerators and related problems.
The National Energy Research Scientific Computing Center, or NERSC, supports all Department of Energy Office of Science–funded research that needs large-scale supercomputers and big data systems. And NERSC has been—and continues to be—an integral part of DOE’s Exascale Computing Project since ECP began several years ago.
Jean Luca Bez, a postdoctoral scholar in the Scientific Data Management Research (SDMR) group was recognized with an Honorable Mention by the Better Scientific Software (BSSw) Fellowship Program.
Since 2017, EQSIM – one of several projects supported by the U.S. Department of Energy’s Exascale Computing Project (ECP) – has been breaking new ground in efforts to understand how seismic activity affects the structural integrity of buildings and infrastructure.
For 20 years, Berkeley Lab’s GASNet has been fueling developers’ ability to tap the power of massively parallel supercomputers more effectively. The middleware was recently upgraded to support exascale scientific applications.
A Berkeley Lab research team and international collaborators were awarded the prestigious ACM Gordon Bell Prize on November 17 during SC22.
ESnet has formally unveiled ESnet6, the newest generation of the U.S. Department of Energy’s high-performance network dedicated to science.
Over the past seven years, the Berkeley Lab-led Exabiome project developed novel software tools that allow researchers to harness the power of cutting-edge high performance computers (and now exascale supercomputers) to solve previously infeasible problems in metagenomics.
Scientists at Oak Ridge, Argonne, and Lawrence Livermore National Laboratories are collaborating on the next generation of integrated Earth climate models using Exascale Computing Project computers and simulation models.
Among the many prospects for exascale computing applications, carbon capture and storage are of particular interest given the potential impact on combating climate change. Carbon capture and storage (CCS) technologies are promising approaches for reducing CO2 emissions, but one of the biggest challenges in deploying them is the scale-up from laboratory design to industrial scale.
Osni Marques, a staff scientist in the Applied Mathematics and Computational Research Division at Lawrence Berkeley National Laboratory (Berkeley Lab), has been tapped to lead the Training & Productivity (T&P) effort within the U.S. Department of Energy’s Exascale Computing Project. He takes over for Ashley Barker of Oak Ridge National Laboratory.
The Berkeley Lab Computing Sciences Area (CSA) will be well-represented at the Exascale Computing Project’s (ECP) annual meeting, an all-virtual event this year that will take place May 2-6.
Suren Byna, PI of the ExaIO project in the Exascale Computing Project (ECP) and computer staff scientist at Lawrence Berkeley National Laboratory, highlights the need for preparation to address the I/O needs of exascale supercomputers.
With an eye toward the first generation of exascale computing, in 2021 the National Energy Research Scientific Computing Center (NERSC) at Lawrence Berkeley National Laboratory formally unveiled its newest supercomputer, Perlmutter.