OLCF’s Advanced Computing Ecosystem (ACE): FY25 Update for Ongoing Efforts

Technical Report · Sun Nov 30 19:00:00 EST 2025

DOI:https://doi.org/10.2172/3006499· OSTI ID:3006499

Etz, Brian D. ^[1]; Oral, Sarp ^[1]; Ferreira Da Silva, Rafael ^[1]; Adamson, Ryan ^[1]; Al-Najjar, Anees ^[1]; Beck, Tom ^[1]; Barker, Ashley ^[1]; Brim, Michael J. ^[1]; Bryant, Paul ^[1]; Engelmann, Christian ^[1]; George, Anjus ^[1]; Herts, Samuel ^[1]; Jansen, Gustav R. ^[1]; Kalyanam, Rajesh ^[1]; Karimi, Ahmad Maroof ^[1]; Lange, Jack ^[1]; Leland, Kellen ^[1]; Maheshwari, Ketan ^[1]; McDonnell, Marshall ^[1]; Messer II, Bronson ^[1] ; Miller, Ross ^[1]; Pelfrey, Daniel S. ^[1]; Prentice, Suzanne ^[1]; Radovanovic, Bran ^[1]; Rogers, David M. ^[1]; Rosendo, Daniel ^[1]; Ruckman, A. J. ^[1]; Shankar, Mallikarjun (Arjun) ^[1]; Shehata, Amir ^[1]; Skluzacek, Tyler J. ^[1]; Souza, Renan Santos ^[1]; Vergara, Veronica Melesse ^[1]; Wang, Feiyi ^[1]; Webb, Jordan ^[1]; Widener, Patrick ^[1]; Zimmer, Christopher ^[1]

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1. Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States). Oak Ridge Leadership Computing Facility (OLCF)

The advent of widespread use of artificial intelligence (AI) and machine learning (ML) models in science, coupled with fast data production rates of scientific instruments strain the traditional batch-oriented high-performance computing (HPC) environment. As scientific exploration continues to require more data and faster processing and analysis, new emerging technologies and capabilities to enable cross-facility and time-sensitive workflows are required for seamless integration of HPC and experimental facilities. The Advanced Computing Ecosystem (ACE) is a strategic initiative within the Oak Ridge Leadership Computing Facility (OLCF) established in 2024 to support the development of cutting-edge technologies to advance computational research and infrastructure at OLCF and across the Department of Energy (DOE). Several DOE initiatives are spearheading the evolution of the scientific landscape by blurring facility boundaries and connecting the user facilities to advance scientific capabilities and ensure energy dominance. The DOE Integrated Research Infrastructure (IRI) program is one example that is laying a foundation to support complex cross-facility workflows. The IRI program aims to integrate diverse computational resources, data infrastructures, and scientific instruments to facilitate collaboration and accelerate scientific discovery. The Interconnected Science Ecosystem (INTERSECT) initiative at Oak Ridge National Laboratory (ORNL) is another example that aims to revolutionize scientific research through AI-driven, interconnected autonomous laboratories and research facilities. Finally, the American Science Cloud (AmSC), recently announced in the “One Big Beautiful Bill”, aims to leverage prior infrastructure efforts of the IRI and automation and AI efforts of INTERSECT (and others) to build a federated, AI-augmented AmSC platform to unify the DOE’s computing, experimental, and data resources to catalyze scientific innovation.

• Research Organization: Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States). Oak Ridge Leadership Computing Facility (OLCF)
• Sponsoring Organization: USDOE Office of Science (SC), Advanced Scientific Computing Research (ASCR)
• DOE Contract Number: AC05-00OR22725
• OSTI ID: 3006499
• Report Number(s): ORNL/TM--2025/4050
• Country of Publication: United States
• Language: English