Epidemiological Modeling in the Exascale Era
Berkeley Lab researchers will lead a three-year, $12 million effort to create a generalized exascale tool for epidemiological modeling.
Continue Reading ➾ Epidemiological Modeling in the Exascale Era
Pagoda Updates PGAS Programming with Scalable Data Structures and Aggressively Asynchronous Communication
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: A Performance-Portable Framework for Block-Structured Adaptive Mesh Refinement Applications
AMReX reflects an ECP success in moving an important numerical library to run on DOE GPU-accelerated supercomputers.
Richard Gerber Named Hardware and Integration Director for ECP
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.
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ExaLearn Expands Horizons with Surrogate Modeling
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.
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The Most Advanced Bay Area Earthquake Simulations Will be Publicly Available
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.
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WarpX Code Shines at the Exascale
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.
Discussing NERSC’S Unique Global Role and Close Collaboration with ECP
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.
Continue Reading ➾ Discussing NERSC’S Unique Global Role and Close Collaboration with ECP
The SciData Division’s Jean Luca Bez Receives BSSw Honorable Mention
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.
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EQSIM Shakes Up Earthquake Research at the Exascale Level
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.
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Berkeley Lab’s Networking Middleware GASNet Turns 20
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.
Continue Reading ➾ Berkeley Lab’s Networking Middleware GASNet Turns 20
Berkeley Lab-Led WarpX Project Key to 2022 Gordon Bell Prize
A Berkeley Lab research team and international collaborators were awarded the prestigious ACM Gordon Bell Prize on November 17 during SC22.
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ESnet Launches Next-Generation Network to Enhance Collaborative Science
ESnet has formally unveiled ESnet6, the newest generation of the U.S. Department of Energy’s high-performance network dedicated to science.
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Exabiome Brings Metagenomics Into the Exascale Era
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.
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ESnet6 Investment Supports Next Generation Exascale Earth System Model
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.
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Exascale Application Project Targets Carbon Capture and Storage
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.
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Osni Marques Takes on New Role with Exascale Computing Project
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.
Continue Reading ➾ Osni Marques Takes on New Role with Exascale Computing Project
Computing Sciences Staff to Share Expertise at 2022 ECP Meeting
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.
Continue Reading ➾ Computing Sciences Staff to Share Expertise at 2022 ECP Meeting
ExaIO: Access and manage storage of data efficiently and at scale on exascale systems
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.
NERSC Targets Exascale with Perlmutter and the Exascale Science Applications Program
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.