2025 Energy HPC Conference has ended

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2025 Energy HPC Conference

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alvaroafernandez@yahoo.com

8:00am CST

Check-in + Breakfast Auditorium + Exhibit Hall

8:30am CST

BOF | Sustainability: Energy Effectiveness and Cooling Future Processors and Accelerators Auditorium

9:30am CST

Morning Coffee Break Exhibit Hall

10:00am CST

Welcome | Day 1 Auditorium

10:10am CST

Keynote | HPC and Applied Seismology: A Long and Successful Partnership Auditorium

10:55am CST

AI and HPC, or AI ends HPC? Auditorium

11:30am CST

Lunch Exhibit Hall

12:20pm CST

A Tour of Deep Learning Applications for Seismic Processing, Imaging, and Interpretation 2nd Floor Room 280 Five Big Questions for HPC-AI in 2025 Auditorium

12:55pm CST

GPU Migration for a Seismic Imaging Software Framework at BP 2nd Floor Room 280 Bridging Academia and Industry: Enhancing Wind Resource and Yield Energy Assessment through HPC-Integrated Computational Fluid Dynamics Auditorium

1:30pm CST

From Leader to Fast Follower through the Barren Cloudy HPL Valley Auditorium

2:05pm CST

Afternoon Break Exhibit Hall

2:40pm CST

Overview of Oak Ridge National Laboratory’s AI Initiative: Advancing Secure, Trustworthy, and Energy-Efficient AI at Scale for Scientific Discovery Auditorium

3:15pm CST

Efficient Implementation of High Order Entropy Stable Methods for Computational Fluid Dynamics Auditorium

3:50pm CST

Sponsor Networking Reception Exhibit Hall

12:20pm CST

Advancing Reservoir Engineering through High-Performance Computing and Neural Operators on the Cloud Auditorium

12:45pm CST

PGAS-Based Distributed OpenMP (DiOMP) for Seismic Modeling with Extension to GPU Computing 2nd Floor Room 280

1:10pm CST

Hybrid Quantum/Classical Machine Learning for Molecular Conformation Generation Auditorium

1:35pm CST

Panel | HPC Directions in Energy: The Path Forward Auditorium Immersed Boundary Abstractions for Constructing Land Seismic Imaging Frameworks 2nd Floor Room 280

3:15pm CST

Fireside Chat with Dan Reed: Thoughts on the Past, Present, and Future of HPC Auditorium

8:30am CST

Scientific Machine Learning Auditorium