Integrated Research Infrastructure Architecture Blueprint Activity (Final Report 2023)

Technical Report · Mon Jul 03 04:00:00 EDT 2023

DOI:https://doi.org/10.2172/1984466· OSTI ID:1984466

Miller, William L. ^[1]; Bard, Deborah ^[2]; Boehnlein, Amber ^[3]; Fagnan, Kjiersten ^[4]; Guok, Chin ^[5]; Lançon, Eric ^[6]; Ramprakash, Sreeranjani (Jini) ^[7]; Shankar, Mallikarjun ^[8]; Schwarz, Nicholas ^[9]; Brown, Benjamin L. ^[10]

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1. National Science Foundation (NSF), Washington, DC (United States)
2. Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States). National Energy Research Scientific Computing Center (NERSC)
3. Thomas Jefferson National Accelerator Facility (TJNAF), Newport News, VA (United States)
4. USDOE Joint Genome Institute (JGI), Berkeley, CA (United States)
5. Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)
6. Brookhaven National Laboratory (BNL), Upton, NY (United States)
7. Argonne National Laboratory (ANL), Argonne, IL (United States). Argonne Leadership Computing Facility (ALCF)
8. Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States). Oak Ridge Leadership Computing Facility (OLCF)
9. Argonne National Laboratory (ANL), Argonne, IL (United States). Advanced Photon Source (APS)
10. US Department of Energy (USDOE), Washington, DC (United States). Office of Science, Advanced Scientific Computing Research (ASCR)

The complexity of scientific pursuits is increasing rapidly with aspects that require dynamic integration of experiment, observation, theory, modeling, simulation, visualization, machine learning (ML), artificial intelligence (AI), and analysis. Research projects across the Department of Energy (DOE) are increasingly data and compute intensive. Innovative research teams are accelerating the pace of discovery by using high-performance computational and data tools in their research workflows and leveraging multiple research infrastructures. Additionally, several recent high-level U.S. government reports underscore the necessity of a new advanced computing ecosystem for international competitiveness and national security. International competitors are moving forward with major research infrastructure integration efforts that seek to capture a competitive advantage in the global innovation race. Owing to its unparalleled constellation of world-class experimental and observational facilities and high-performance and extreme-scale computational, data, and networking infrastructure, DOE is positioned to be a global leader in this new era of integrated science. However, this new integration paradigm will demand continuing evolution to ensure the U.S. remains a global leader in research and innovation. The DOE Office of Science (SC) has seized on the strategic importance of integration and has adopted a vision for Integrated Research Infrastructure (IRI): To empower researchers to meld DOE’s world-class research tools, infrastructure, and user facilities seamlessly and securely in novel ways to radically accelerate discovery and innovation. To respond to the evolving computational requirements of research and the competitive international innovation landscape, experimental facilities could be connected with high performance computing resources for near real-time analysis, and resources should be provided for merging enormous and diverse data for AI/ML techniques and analysis.

• Research Organization: US Department of Energy (USDOE), Washington, DC (United States). Office of Science; Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)
• Sponsoring Organization: USDOE Office of Science (SC)
• OSTI ID: 1984466
• Country of Publication: United States
• Language: English

Related Subjects

97 MATHEMATICS AND COMPUTING