Classic 2025

October 6-9, 2025

Westin Annapolis
Annapolis, Maryland

Grand Challenges Requiring Grand Solutions

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

AGENDA

Monday, October 6, 2025

7:00 – 8:30 pm

Welcome Reception: (Senate A/B)

Tuesday, October 7, 2025

General Session location: Capitol D Ballroom

7:00 – 8:00 am

Breakfast and Registration: (Capitol ABC)

8:00 – 8:15 am

Welcome

Steve Pritchard

8:15 – 8:30 am

George Cotter Award for Vision and Leadership in the Field of Data Analytics

Laura Monroe, Presenter

8:30 – 9:15 am

Keynote: Taking on the World’s Challenges: The Role of Computer Science Research

Ron Oldfield, Moderator

Margaret Martonosi, Princeton University

Session 1: Applications

Ron Oldfield, Moderator

9:15 – 10:00 am

Revolutionary ML-Enabled Workflows for Rapid Discovery and Manufacturing of Robust Materials

Brad Boyce, Sandia National Labs

10:00 – 10:15 am

Break (Foyer)

10:15 – 11:00 am

Multi-Scale Analytics for Energy and Power Attribution in Exascale Applications (Virtual)

Oscar Hernandez, Oak Ridge National Labs

11:00 – 11:45 am

ArtIMis: AI for Mission at LANL

Oscar Hernandez, Oak Ridge National Labs

11:45 – 12:30 pm

Panel Discussion

12:30 – 1:45 pm

Lunch (Capitol ABC)

Session 2: Software

David Haglin, Moderator

1:45 – 2:30 pm

WEKA Augmented Memory Grid: Accelerating Inference at Scale

Ford Shaper, WEKA

2:30 – 3:15 pm

DIMPLES: Distributed Influence Maximization for Pandemic Planning on Exascale Systems

Mahantesh Halappanavar, Pacific Northwest National Lab

3:15 – 3:30 pm

Break (Foyer)

3:30 – 4:15 pm

The Future of Exabyte Scale Inference

Arthur Rasmusson

4:15 – 5:00 pm

Panel Discussion

6:00 – 7:30 pm

Dinner (Capitol ABC)

7:30 – 9:00 pm

Reception (Senate A/B)

Wednesday, October 8, 2025

General Session location: Capitol D Ballroom

7:00 – 8:30 am

Breakfast (Capitol ABC)

8:30 – 9:15 am

Keynote: Bureaucratic Theater Undermines Grand Challenge Solutions (aka, The Responsible AI Fallacy)

Laura Monroe, Moderator

David Spirk, Palantir Technologies

Session 3: Grand Challenges

Laura Monroe, Moderator

9:15 – 10:00 am

HPC Systems Built for Purpose in a Post-Moore World

Dan Ernst, NVIDIA

10:00 – 10:15 am

Break (Foyer)

10:15 – 11:00 am

Supporting NASA’s Mission with Earth System Models: Providing a Data-Driven View of Past, Present and Future

Lesley Ott

11:00 – 11:45 am

From Exascale to Hyperscale: Insights for the Next Generation of Large-Scale Computing

Glenn Lockwood, VAST Data

11:45 – 12:30 pm

Panel Discussion

12:30 – 5:00 pm

Free time: Lunch and early dinner (on your own)

2:00 pm

Naval Academy (Walking) Tour

Jeffrey Howard, Naval Academy Alumni

5:00 – 6:30 pm

Random Access: (Capitol D)

Kevin Barker, Moderator

6:30 – 8:30 pm

Poster Reception: (Senate A/B)

Students:

High-Performance Compression of Scientific Volume Data Using Learned 3D Gaussian Models

Landon Dyken, University of Illinois Chicago

Towards Scalable Clique Counting in Distributed Memory

Lance Fletcher, Texas A&M University

Dynamic Systems as Computers: Unleashing Pathways Towards Truly Efficient AI

Chuan Liu, University of Rochester

Graph Neural Network-Driven Multi-Objective Bayesian Optimization for Discovering Metal-Organic Frameworks with Optimal Separation Performance

Lane Schultz, Center for Integrated Nanotechnologies/Sandia National Labs

Thursday, October 9, 2025

General Session location: Capitol D Ballroom

7:00 - 8:30 am

Breakfast (Capitol ABC)

8:30 – 9:15 am

Keynote: Accelerating AI with Purpose: Innovation, Trust, and Mission Alignment

David Haglin, Moderator

 Naomi Adaniya

Session 4: Novel Architectures

Jim Ang, Moderator

9:15 – 10:00 am

Harnessing Light: A Physics-Based Computing Paradigm for Simulating Nature

Chene Tradonsky, LightSolver

10:00 - 10:15 am

Break (Foyer)

10:15 - 11:00 am

How Novel Underlying Logic Substrates Would Enable Future Large-Scale Analytics

Andrew Sloss, Vaire

11:00 – 11:45 am

Dynamical-System AI: Beyond the Scaling Crisis, Toward Transformative Efficiency

Tony Geng, Rice University

11:45 – 12:30 pm

Panel Discussion

12:30 – 1:45 pm

Lunch: (Capitol ABC)

Session 5: Policy Panel

Ron Oldfield, Moderator

1:45 – 3:15 pm

Nathan DeBardeleben, LANL

David Spirk, Palantir Technologies

Naomi Adaniya, U.S. Department of Justice

3:15 – 3:30 pm

Break (Foyer)

3:30 – 5:00 pm

Policy Panel Continued

5:00 – 5:15 pm

Closing Remarks and Adjourn

Jim Ang, AHSC

5:15 – 6:30 pm

Closing Reception (Senate A/B)

2025 Sponsors

AMD logo
ARM logo
AWS logo
CDW logo
CMA logo
Cornelis Networks logo
DDN logo
Dell logo
Feddata logo
Google Public Sector logo
HPE logo
IBM logo
Intel logo
Micron logo
NextSilicon logo
Nvidia logo
Qualcomm logo
Supermicro logo
Weka logo