April 12, 2021 — The U.S. Department of Energy’s Innovative and Novel Computational Impact on Theory and Experiment (INCITE) program is seeking proposals for high-impact, computationally intensive research campaigns in a broad array of science, engineering and computer science domains. The deadline is June 18, 2021. INCITE’s open call provides an opportunity for researchers to […]
DOE Announces $29 Million for Data Analysis Tools
March 26, 2021 by Leave a Comment
March 26, 2021 – The U.S. Department of Energy (DOE) today announced $29 million to develop new tools to analyze massive amounts of scientific information, including artificial intelligence, machine learning and advanced algorithms. All have the potential to reveal critical new insights—and even new discoveries—in research that can help tackle clean energy, climate, and national […]
Preparing for Exascale: ALCF’s Aurora Early Science Program and Visualizing Cancer’s Spread
March 26, 2021 by Leave a Comment
Scientists are preparing a cancer modeling study to run on Argonne’s upcoming Aurora supercomputer before it goes online in 2022. The U.S. Department of Energy’s (DOE) Argonne National Laboratory will be home to one of the nation’s first exascale supercomputers – Aurora is scheduled to arrive in 2022. To prepare codes for the architecture and scale of […]
Continuous Integration: The Path to the Future for HPC
March 24, 2021 by Leave a Comment
By Rob Farber on behalf of the Exascale Computing Project The Exascale Computing Project (ECP) is investing heavily in software for the forthcoming exascale systems as can be seen in the many tools, libraries and software components that are already freely available for download via the Extreme-Scale Scientific Software Stack (E4S). In order for these software […]
DOE Office of Science Workshop: Mapping Brain Circuitry at Scale
January 29, 2021 by
Jan. 29, 2021 – The National Institute of Health BRAIN Initiative and the Department of Energy’s Office of Science will hold virtual workshops in February and March exploring brain connectivity. Generating complete maps of mammalian brains is a scientific grand challenge that will require a multi-disciplinary, science-at-scale approach, the agencies said in their announcement, bringing […]
Exascale and Beyond: DOE Funds $12M for Adapting Software for Next-Gen Supercomputers
January 28, 2021 by
The U.S. Department of Energy (DOE) today announced plans to provide up to $12 million for research aimed at adapting scientific software to run on next-generation of supercomputers. DOE said applications will be open to DOE national laboratories, universities, industry, and nonprofit research institutions. Funding is to be awarded competitively, on the basis of peer […]
Exascale Computing Project Software Technology Issues Updated Capability Assessment Report
January 15, 2021 by
Jan. 15, 2021 — Tthe latest update (V2.5) of the US Department of Energy’s (DOE) Exascale Computing Project (ECP) Software Technology (ST) Capability Assessment Report (CAR) is now available here from the ECP website. It provides an overview and assessment of current ECP ST capabilities and activities, giving stakeholders and the broader high-performance computing (HPC) […]
‘Let’s Talk Exascale’: How Supercomputing Is Shaking Up Earthquake Science
December 30, 2020 by
Supercomputing is bringing seismic change to earthquake science. A field that historically has predicted by looking back now is moving forward with HPC and physics-based models to comprehensively simulate the earthquake process, end to end. In this episode of the “Let’s Talk Exascale” podcast series from the U.S. Department of Energy’s Exascale Computing Project (ECP), David McCallen, leader of ECP’s Earthquake Sim (EQSIM) subproject, discusses his team’s work to help improve the design of more quake-resilient buildings and bridges.
‘Let’s Talk Exascale’: Storing and Managing Exa-class Data Volumes
December 4, 2020 by
In this new edition of “Let’s Talk Exascale” from the Department of Energy’s Exascale Computing Project, the ECP’s Scott Gibson talks with Jim Ahrens of Los Alamos National Laboratory about the project’s data and visualization portfolio. As Ahrens said in this interview, “We can compute much faster than we can save and store data these […]
NETL, Cerebras Claim CFD Milestone
November 20, 2020 by
A collaboration between DOE’s National Energy Technology Laboratory and Cerebras Systems, maker of the CS-1 deep learning compute system, has demonstrated that CS-1 could perform a key computational fluid dynamics (CFD) workload more than 200 times faster and at a fraction of the power consumption than the same workload on an optimized number of cores […]
