Topics
06 & 08 October 2025
Emerging HPC Technologies
High-Performance Data Analytics, Machine Learning and Deep Learning
Convergence and Overlapping of HPC and Data Analytics
Quantum Computing
Next Generation Programming Models and Languages
High-Performance Cloud Computing (HPCC)
System Architectures for Exascale Computing
High-Performance IoT-based solutions
Neuromorphic Computing
Software Stacks
Software Engineering for HPC
HPC DevOps
Geosciences & HPC
Seismic Imaging, Modeling & Inversion
Reservoir Modeling and Simulation
- Joint Inversion of Geophysical and Engineering Data
Designing Upstream Applications for Exascale Computing
Upstream Data Visualization (Distributed and Remote Visualization)
Digital Rock Physics
Seismic Processing
Electromagnetic Modeling and Inversion
Combining Geosciences with AI
Performance Analysis and Optimization
- HPC Case Histories and Field Studies
- Mixed Precision Computing
- Energy Efficient Computing
- Numerical Methods and Solvers
- Data Intensive Computing (High Performance I/O and File Systems)
- Fabrics for Upstream HPC
HPC for the Energy Transition
- Fusion Simulation
- Green Hydrogen
- Carbon Capture and Storage
- Solar Power Plant, Wind Farm, Geothermal & Hydroelectric Energy
- Weather and Climate Modelling
- Electrical Power Grid & Grid Energy Storage
- Earth Observation for Energy
07 October 2025
NEW Joint Session Title/Topic
Leveraging the Computing Revolution in the AI era
The relentless pace of change of HPC technologies, to which the Geosciences have always been accustomed to, is now compounding with the extraordinary acceleration brought about by artificial intelligence. Every day new opportunities for innovation in data processing pipelines emerge, very often accompanied by new technological challenges. At the same time, data density and resolution are constantly increasing, and the latency between data acquisition and processing is constantly shrinking and even becoming non existent when we process data on the edge. This joint session will try to address the landscape of this new and unprecedented scenario. How are the HPC and data processing communities reacting? Is there a convergence path that can maximize benefits without disrupting established data processing ecosystems? Are there any lessons we can learn from past revolutions, such as when we borrowed GPUs from game consoles? Has generative AI already had a transformative impact on our data, just like it is having on text, sound, images, and video? As the evolution of HPC hardware is inevitably increasingly driven by AI requirements, is there a viable way to leverage it to speed-up conventional and well established data processing approaches, or is it time for a radical paradigm change?
