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.
In this Q&A, 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 how this unique HPC software framework has influenced, and continues to influence, a broad spectrum of scientific applications, both within ECP and outside the ECP program.
Podcast: Preparing an earthquake risk assessment application for exascale computing with Houjun Tang of Lawrence Berkeley National Laboratory and Brian Homerding of the Argonne Leadership Computing Facility.
The Dark Energy Spectroscopic Instrument is combining high-speed automation, high-performance computing, and high-speed networking to produce the largest 3D map of the universe ever created.
The U.S. Department of Energy (DOE)’s Exascale Computing Project (ECP) has selected Katie Antypas, Division Deputy and Data Department Head at the National Energy Research Scientific Computing Center (NERSC), as its new Director for the Hardware & Integration (HI) Focus Area.
ECP ExaWind Project Taps AMReX and NERSC to Help Model Next-Generation Wind Farms. The ExaWind team is developing a predictive, physics-based, and high-resolution computational model — progressively building from petascale simulations of a single turbine toward exascale simulations of a nine-turbine array in complex terrain.
The U.S. Department of Energy’s Exascale Computing Project (ECP) has named Dan Martin, a computational scientist and group lead for the Applied Numerical Algorithms Group in Berkeley Lab’s Computational Research Division, as team lead for their Earth and Space Science portfolio within ECP Application Development focus area. Martin replaces Anshu Dubey, a computer scientist at Argonne National Laboratory.
Researchers from Berkeley Lab’s Computational Research Division (CRD) and the National Energy Research Scientific Computing Center (NERSC) are collaborating with Carnegie Mellon and a number of other academic institutions to prepare to use the nation’s first exascale computer next year to continue the search for new, more efficient photovoltaic solar cell materials.