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CLSAC 2025
October 6--Oct 9, 2025 Westin Annapolis Annapolis, Maryland |
Theme:
The 2025 Chesapeake Large Scale Analytics Conference (CLSAC), with its theme of "Grand Challenges Requiring Grand Solutions", explores state-of-the-art large-scale analytics role in addressing the world’s most pressing and complex issues. Society’s grand challenges, including revolutionizing health care, understanding climate change, cybersecurity, energy and space exploration are examples of the many domains that involve vast amounts of data requiring increasingly sophisticated analytic solutions and computing platforms. The scale and complexity of these challenges – and the data associated with them – influence every aspect of the computing spectrum from algorithms, processor design/packaging, memory architecture, interconnect, storage and software development. Increased volumes of data enable greater fidelity and understanding of complex systems, but not without cost, legal, security and privacy challenges.
At the heart of the annual Chesapeake Large Scale Analytics Conference is the recognition that the most pressing global issues benefit from collaboration and interdisciplinary approaches. From massive graph analytics, integrating machine learning models to applying predictive analytics in real-time, the need for large-scale infrastructure, sophisticated algorithms, and scalable computational resources is more urgent than ever. This year’s conference returns to our roots focusing especially on large-scale, and brings together experts from a wide array of fields to explore solutions that may otherwise be impossible to achieve. The conference seeks cutting-edge technologies that not only solve today's challenges but also incorporate resilience and sustainability for the future. In short, large-scale analytics are essential for driving the systemic change needed to address the grandest challenges of our time.
The 2025 Chesapeake Large Scale Analytics Conference (CLSAC), with its theme of "Grand Challenges Requiring Grand Solutions", explores state-of-the-art large-scale analytics role in addressing the world’s most pressing and complex issues. Society’s grand challenges, including revolutionizing health care, understanding climate change, cybersecurity, energy and space exploration are examples of the many domains that involve vast amounts of data requiring increasingly sophisticated analytic solutions and computing platforms. The scale and complexity of these challenges – and the data associated with them – influence every aspect of the computing spectrum from algorithms, processor design/packaging, memory architecture, interconnect, storage and software development. Increased volumes of data enable greater fidelity and understanding of complex systems, but not without cost, legal, security and privacy challenges.
At the heart of the annual Chesapeake Large Scale Analytics Conference is the recognition that the most pressing global issues benefit from collaboration and interdisciplinary approaches. From massive graph analytics, integrating machine learning models to applying predictive analytics in real-time, the need for large-scale infrastructure, sophisticated algorithms, and scalable computational resources is more urgent than ever. This year’s conference returns to our roots focusing especially on large-scale, and brings together experts from a wide array of fields to explore solutions that may otherwise be impossible to achieve. The conference seeks cutting-edge technologies that not only solve today's challenges but also incorporate resilience and sustainability for the future. In short, large-scale analytics are essential for driving the systemic change needed to address the grandest challenges of our time.
Organizing Committee:
Jim Ang, Pacific Northwest National Laboratory
Almadena Chtchelkanova, National Science Foundation
John Feo, Pacific Northwest National Laboratory
David Haglin, Rocketgraph
Laura Monroe, Los Alamos National Laboratory
Richard Murphy, Gem State Informatics, Inc.
Ron Oldfield, Sandia National Laboratories
Steve Pritchard, Committee Advisor
Tyler Simon, Department of Defense
Brad Spiers, Committee Advisor
Robert Nine, Department of Defense
Almadena Chtchelkanova, National Science Foundation
John Feo, Pacific Northwest National Laboratory
David Haglin, Rocketgraph
Laura Monroe, Los Alamos National Laboratory
Richard Murphy, Gem State Informatics, Inc.
Ron Oldfield, Sandia National Laboratories
Steve Pritchard, Committee Advisor
Tyler Simon, Department of Defense
Brad Spiers, Committee Advisor
Robert Nine, Department of Defense