Oak Ridge Leadership Computing Facility

🚨 The 2027 INCITE Proposal Deadline is fast approaching.

The U.S. Department of Energy's INCITE program is accepting proposals for computationally intensive research that pushes the frontiers of science.

This is an opportunity to access the nation’s most powerful open science supercomputers, including the exascale systems Frontier at Oak Ridge National Laboratory and Aurora at Argonne National Laboratory, to tackle grand challenges at unprecedented scale.

📅 Proposal deadline: June 15, 2026

🔗 More details: https://bit.ly/3QBFYyK

Today marks an important step toward the next era of leadership-class computing at the Oak Ridge Leadership Computing Facility!

The Center for Accelerated Application Readiness, or CAAR, hosted a kick-off workshop during the 2026 OLCF User Summit. CAAR brings together research teams, OLCF staff, and vendor experts to prepare scientific software for Discovery, OLCF's next-generation supercomputer.

The program is designed to help users take advantage of Discovery from day one by advancing application performance, enabling early science results, and developing best practices that will benefit the broader user community as the system comes online in 2028.

The 2026 OLCF User Summit brought together researchers, developers, and staff from across the HPC community to share the latest science, innovations, applications, workflows, and data visualization advances enabled by OLCF resources.

From breakthroughs in AI and quantum computing to the next generation of supercomputers and data centers like Discovery and Lux, this year's Summit highlighted the technologies shaping the future of computing and supporting the DOE by accelerating scientific discovery.

Today at the 2026 OLCF User Summit: Arjun Shankar and Ashley Barker discussed OLCF's ongoing commitment to providing researchers with the tools and infrastructure needed to tackle increasingly complex scientific challenges.

The OLCF team aims to expand access to advanced computing resources, support AI-driven research through the American Science Cloud and Lux AI cluster, and help scientists move more seamlessly from data to discovery.

Good morning from Day 2 of the 2026 OLCF User Summit at Oak Ridge National Laboratory!

Today’s agenda kicked off with facility and program updates from ORNL’s Arjun Shankar, Ashley Barker, Matt Sieger, and Josh Cunningham.

Presentations featured the latest developments for the Discovery supercomputer, the American Science Cloud project, the Lux AI cluster, and anticipated advancements in capabilities at the Quantum Science Center.

Day 1 of the 2026 OLCF User Summit at Oak Ridge National Laboratory concluded with an in-depth poster session and data visualization showcase.

Users shared the science enabled by OLCF resources, discussed the tools and systems behind their work, and connected with attendees through one-on-one conversations about their results.

The event continues tomorrow with facility and program updates exploring the future of computing.

What does the future of computing look like?

Today, a wide array of contributed user talks during this year’s OLCF User Summit at Oak Ridge National Laboratory highlighted research advances enabled by OLCF capabilities that are helping shape the next generation of computing technologies.

• Spencer Bryngelson, Georgia Institute of Technology: Evaluation and Evolution of AMD Flang Targeting AMD GPU Devices

• Arthur Lorenzon, Universidade Federal do Rio Grade do Sul: Using Omnistat and GPU Power Management to Improve Energy Efficiency on Frontier

• Joe Oefelein, Georgia Institute of Technology: Performance Optimization of Turbulent Reacting Flow Simulations on hybrid-CPU/GPU Architectures

• Suhas Jain, Georgia Institute of Technology: Simulation and AI for Multiphase Turbulence at Extreme Scale Exascale

• Daniela Cassol, Berkeley Lab: JAWS: Portable Scientific Workflow Ex*****on Across DOE HPC Facilities

Stay tuned for updates from this afternoon's poster session and data visualization showcase!

The 2026 OLCF User Summit is underway at Oak Ridge National Laboratory!

This morning, ORNL's Ashley Barker and OLCF’s User Group Executive Board Chair Eric Nielsen welcomed researchers and experts from universities, national laboratories, and industry who will spend the next two days sharing the discoveries, innovations, and scientific workflows made possible by resources at the Oak Ridge Leadership Computing Facility.

Follow along as this year’s Summit highlights the latest advances in AI, simulation, data visualization, and performance optimization for next-generation computing systems!

A new secure, scalable platform unifies energy storage data from national laboratories and field deployments, creating a foundation for AI-driven analysis, lifetime prediction, anomaly detection, and digital twin development.

By connecting data, advanced computing, and machine learning, the platform helps accelerate the validation and deployment of long-duration energy storage technologies that support a more reliable grid.

“Long-duration storage projects generate massive, messy data streams that have historically been locked in separate systems,” said Srikanth Allu, ROVI DataHub principal investigator at ORNL. “With the DataHub, we now have a single, secure environment where those data can be brought together, curated and turned into trusted insights for DOE, researchers and industry partners.”

The work aligns with DOE's by combining AI, data, advanced computing, and scientific infrastructure to accelerate discovery and energy innovation.

Read the article:

ROVI DataHub unifies energy storage data to accelerate long duration battery innovation | ORNL Led by ORNL, the DataHub supports AI-driven workflows for lifetime prediction, anomaly detection and digital twin development using curated energy storage data Published: May 28, 2026 Updated: May 28, 2026 The Department of Energy’s Rapid Operational Validation Initiative (ROVI) has reached a majo...