Exascale’s New Software Frontier: E3SM-MMF

“Exascale’s New Frontier,” a project from the Oak Ridge Leadership Computing Facility, explores the new applications and software technology for driving scientific discoveries in the exascale era. The Scientific Challenge Gauging the likely impact of a warming climate on global and regional water cycles poses one of the top challenges in climate change prediction. Scientists […]

NCSA Aids Researchers with AI on Multiple Fronts

NCSA is the caretaker and manager of the Delta supercomputer, but that means more than just making sure the machine is running. The Center recently worked with the Argonne National Laboratory (ANL) on their research using AI to identify materials capable of passively capturing carbon. Delta’s powerful AI capabilities were used in this collaborative effort, which also […]

Exascale’s New Software Frontier: LatticeQCD for Particle Physics

“Exascale’s New Frontier,” a project from the Oak Ridge Leadership Computing Facility, explores the new applications and software technology for driving scientific discoveries in the exascale era. The Science Challenge One of the most challenging goals for researchers in the fields of nuclear and particle physics is to better understand the interactions between quarks and gluons — […]

Exascale: Bringing Engineering and Scientific Acceleration to Industry

At SC23, held in Denver, Colorado, last November, members of ECP’s Industry and Agency Council, comprised of U.S. business executives, government agencies, and independent software vendors, reflected on how ECP and the move to exascale is impacting current and planned use of HPC….

NSF to Hold Feb. 21 Webinar on National AI Research Resource

Feb. 15, 2024 – The National Science Foundation will hold a webinar on Wednesday, Feb. 21 from 3-4 pm ET for researchers and educators to learn about the National AI Research Resource (NAIRR), the recently launched multi-agency NAIRR pilot. More information can be found on the NSF event page. Zoom registration is available here. Topics discussed will […]

Exascale’s New Software Frontier: SLATE

“Exascale’s New Frontier,” a project from the Oak Ridge Leadership Computing Facility, explores the new applications and software technology for driving scientific discoveries in the exascale era.  Why Exascale Needs SLATE For nearly 30 years, scores of science and engineering projects conducted on high-performance computing systems have used either the Linear Algebra PACKage (LAPACK) library […]

DOE $36M Funding Opportunity: AI for Science

Feb. 13, 2024: The U.S. Department of Energy’s Office of Science, Advanced Scientific Computing Research (ASCR) program, is issuing a $36 million funding opportunity announcement for basic computer science and applied mathematics research in the fundamentals of artificial intelligence (AI) for science. Deadline for letters of intent: Tuesday, March 19, 5 pm ET. Deadline for […]

ALCF Developer Session Feb. 28: Aurora’s Exascale Compute Blade

On Wednesday, Feb. 28, the Argonne Leadership Computing Facility will hold a webinar from 11 am-noon CT on the compute blade of the Aurora exascale supercomputer. Registration for the event can be found here. Led by ALCF’s Servesh Muralidharan, the session will cover details of the blade’s components, and the flow of data between them, […]

Integrated Research Infrastructure: Argonne Combines HPC and Experiments to Speed Discovery

For over a decade, Argonne has been working to develop tools and methods to connect its powerful computing resources with large-scale experiments. Merging ALCF supercomputers with the APS has been a significant focus of…

NSF to Launch Advanced Computing National AI Research Resource Pilot

January 24, 2024 — Today, the U.S. National Science Foundation and collaborating agencies launched the National Artificial Intelligence Research Resource (NAIRR) pilot, which the NSF called “a first step towards realizing the vision for a shared research infrastructure that will strengthen and democratize access to critical resources necessary to power responsible AI discovery and innovation.” […]