2025 Energy HPC Conference

Click here to view the slides.
Click here to view the recording.

Click here to view the slides.
​Click here to view the recording.
​​​
AI and HPC, or AI ends HPC?

Abstract: In this talk, I'll first cover the plans for the new NSF Leadership Facility, benchmarks from the early hardware, then discuss the balance (or lack thereof) between AI and HPC In future system designs.
 

​Click here to view the slides.
​​​​Click here to view the recording.​​​

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

Abstract: We will present an overview of the Oak Ridge National Laboratory's Artificial Intelligence Initiative, which aims to advance the domains of science, energy, and national security. At the core of this initiative are two fundamental thrusts: transformative science applications and cross-cutting assurance. The application thrust focuses on developing AI methods to accelerate scientific discoveries, while the cross-cutting assurance thrust ensures that AI systems are secure, trustworthy, and energy-efficient. Secure approaches include alignment, privacy preservation, and robustness testing for AI models. Trustworthiness is achieved through validation and verification processes coupled with advanced techniques in uncertainty quantification and causal reasoning. Meanwhile, energy efficiency is prioritized by developing scalable solutions, integrating edge computing technologies, and adopting a holistic co-design approach that optimizes the synergy between software and hardware resources. 

​Click here to view the recording.
​​​
Efficient Implementation of High Order Entropy Stable Methods for Computational Fluid Dynamics

Click here to view the slides.
Click here to view the recording​​.

Targeting Applications to First-Generation Exascale Systems

Abstract: Aurora and Frontier are the nation’s first exascale computing systems for science and engineering, housed at Argonne and Oak Ridge National Laboratories’ Leadership Computing Facility sites, respectively. From the perspective of managing ALCF’s applications-readiness program for Aurora, the Early Science Program, and working within the Applications Integration component of the Department of Energy’s Exascale Computing Program, I will discuss experiences in developing and optimizing applications for these GPU-accelerated architectures. These applications span a wide range of science and engineering domains and include AI and data-intensive computing components—often together in multicomponent workflows. All of the project teams involved were motivated to maintain portability across both exascale platforms, as well as existing pre-exascale platforms. I will discuss their various chosen implementation means to do this, and some cross-cutting best practices.

Speaker: Cristel Carolina Brindis Flores - PhD Student, Department of Chemical and Biomolecular Engineering, Rice University
Click here to view the slides.
Click here to view the recording.
Poster: Carbon-Neutral Recovery of Natural Gas from Shale: Sequestering CO2 While Enhancing Gas Production
Authors: Cristel Carolina Brindis Flores (Rice University), Walter Chapman (Rice University) and Philip Singer (Rice University)

Speaker: Chen Chen - PhD Student, Department of Civil and Environmental Engineering, Rice University
Click here to view the recording.
Poster: Optimizing US Industrial Heat and Power Systems with Geothermal Deployment in 2030
Authors: Chen Chen (Rice University) and Daniel Cohan (Rice University)

Speaker: Dragana Grbic - PhD Student, Department of Computer Science, Rice University
Click here to view the slides.
Click here to view the recording.
Poster: Measuring and Analyzing Application Performance At Exascale
Authors: Dragana Grbic (Rice University) and John Mellor-Crummey (Rice University)

Speaker: Max Hawkins - PhD Student, Department of Computational Science and Engineering, Georgia Institute of Technology
Click here to view the slides.
Click here to view the recording.
Poster: Runtime and Energy Analysis of SpMV Hardware Execution Choice
Authors: Max Hawkins (Georgia Institute of Technology), Christian Engman (Georgia Institute of Technology) and Ivan Rocha (Georgia Institute of Technology)

Speaker: Kashif Liaqat - PhD Student, Department of Mechanical Engineering, Rice University
Click here to view the recording.
Poster: Enhancing Data Center Energy Efficiency with a Solar Thermal Boosted Waste Heat Recovery System
Authors: Kashif Liaqat (Rice University) and Laura Schaefer (Rice University)

Speaker: Jason Ludmir - PhD Student, Department of Computer Science, Rice University
Click here to view the slides.
Click here to view the recording.
Poster: Unsupervised Quantum Anomaly Detection: Quantum Computing for Detecting Critical Anomalous Events
Authors: Jason Ludmir (Rice University) and Tirthak Patel (Rice University)

​Click here to view the recording​​​