1. Next-Generation HPC Systems, Architectures and Programming

·       Post-exascale and AI-centric architectures, including scaling geoscience and upstream applications on GPU-dense systems

·       Next-generation programming models, languages and performance-portable software

·       Quantum computing and potential applications in the energy sector

·       Neuromorphic computing and other emerging computing paradigms

·       High-performance cloud computing and hybrid cloud–HPC workflows

·       HPC software stacks, portability and system software

·       High-performance IoT-based solutions

2. AI for Geophysics and Geosciences

·       AI for geophysics: scientific machine learning, foundation models and generative AI for geoscience

·       AI-assisted seismic imaging, processing, modelling and inversion

·       AI for reservoir modelling, simulation and digital rock physics

·       Joint inversion of geophysical and engineering data using AI and physics-informed methods

·       AI-assisted software development and optimisation for HPC: code porting, optimisation, testing and modernisation of legacy codes using LLMs and agents

·       Agentic AI workflows for HPC and geoscience: agents that configure, run, monitor and manage large simulation studies

·       AI-enabled high-performance data processing agents and autonomous scientific workflows

·       AI-assisted visualisation and interpretation of upstream data

3. HPC Software Engineering, Operations and Productivity

·       Software engineering for HPC, including code quality, testing, maintainability and modernisation

·       AI-aided HPC DevOps, workflow orchestration and automated performance tuning

·       AI-assisted programming and “vibe coding” for scientific and HPC applications

·       Scaling and optimising upstream applications on GPU-dense and heterogeneous systems

·       Performance upgrades and optimisation using LLMs, AI tools and automated methods

4. Performance, Algorithms and Efficient Computing

·       HPC case histories, field studies and real-world application performance

·       Mixed-precision computing and opportunities for mixed-precision algorithms

·       Numerical methods, solvers and algorithmic innovation

·       Balancing throughput, performance and energy consumption

·       Energy-efficient and sustainable HPC

·       Data-intensive computing, high-performance I/O and file systems

·       Interconnects and fabrics for upstream HPC

·       Uncertainty quantification in HPC-enabled modelling and simulation

·       Convergence of HPC, data analytics and AI in scientific workflows

5. Geoscience and Upstream HPC Applications

·       Seismic imaging, modelling, inversion and processing

·       Reservoir modelling and simulation

·       Joint inversion of geophysical and engineering data

·       Upstream data visualisation, including distributed and remote visualisation

·       Digital rock physics

·       Designing and scaling upstream applications for exascale, post-exascale and AI-centric systems

6. HPC for the Energy Transition

·       Fusion simulation

·       Green hydrogen

·       Carbon capture and storage

·       Solar power plants, wind farms, geothermal and hydroelectric energy

·       Weather and climate modelling

·       Electrical power grids and grid energy storage

·       Earth observation for energy

·       Applications of quantum computing in the energy sector

7. HPC Strategy, Resilience and Economics

·       Coping with component shortages: algorithmic, software and hardware solutions

·       How to sustain HPC capability and competitiveness in a market driven by AI giants

·       Impact of new AI-focused hardware on HPC development and infrastructure choices

·       HPC economics, procurement strategies and resilient technology roadmaps