Special—ECP Leadership Discusses Project Highlights, Challenges, and the Expected Impact of Exascale Computing
Members of the Exascale Computing Project leadership team summarize the state of the project and delve into the major accomplishments.
Members of the Exascale Computing Project leadership team summarize the state of the project and delve into the major accomplishments.
Writer Jennifer Huber of NERSC delves into ExaWind's science challenge problem, its use of the computational code called Nalu-Wind, and its collaboration.
Jennifer Huber of NERSC writes about how the ExaWind project is advancing our basic understanding of the flow physics governing wind plant performance.
The WarpX project is developing an exascale application for plasma accelerator research that will pave the way for new breeds of virtual experiments.
Machine learning, artificial intelligence, and data analytics are converging with high-performance computing to advance scientific discovery.
A newly released report introduces work to advance software productivity and sustainability for extreme-scale computational science.
A collaborative team is working to get NWChem ready to run on exascale machines and to provide a starting point for future code development.
Kathy Yelick and Lenny Oliker of Lawrence Berkeley National Laboratory explain why understanding microbial communities is so important.
Ensuring speedup for exascale, managing dependencies and versions, and fostering great collaborative communication are key in deploying ECP software.
A question-and-answer article from Berkeley Lab checks in with David McCallen, principal investigator of a project that is modeling the Hayward Fault.
A Q&A shares the thoughts of John Shalf of Lawrence Berkeley National Laboratory about what high-performance computing may be like after Moore's Law ends.
Here are some of the latest instances of the Exascale Computing Project (ECP) in the news.
Narrative snapshots in time chronicle highlights of some of the Application Development efforts within ECP.
Lawrence Berkeley Lab outlines its contributions—from plenary talks to tutorials, breakout sessions, and posters—at ECP's Annual Meeting in Houston.
The insideHPC blog reports that a team of computational scientists from Lawrence Berkeley and Oak Ridge national laboratories, and engineers from NVIDIA has demonstrated an exascale-class deep learning application that has for the first time broken the exaop barrier.
Some 25 graduate and post-graduate students recently spent four intense days preparing for the next generation of parallel supercomputers and exascale at the Parallel Computing in Molecular Sciences (ParCompMolSci) Summer School and Workshop hosted by Berkeley Lab.
New ExaLearn Co-Design Center to be led by Brookhaven National Laboratory's Francis (Frank) Alexander. The Exascale Computing Project has initiated its sixth Co-Design Center, ExaLearn, to be led by Principal
With unprecedented resolution, scientists and engineers are simulating precisely how a large-magnitude earthquake along the Hayward Fault would affect different locations and buildings across the San Francisco Bay Area.
Computer simulation has become an essential and core component of earthquake design for major infrastructure, but researchers need to better understand and quantify future earthquakes. Exascale computing could allow for the realization of such advances. Learn more on Let's Talk Exascale.
Lawrence Livermore and Lawrence Berkeley national laboratory scientists have used some of the world’s most powerful supercomputers to model ground