pres_ExaInt 2023_07-Large-Scale Graph Neural Networks for Real-World Industrial Applications-Toyotaro Suzumura
Is Scientific Data Different?
pres_ExaInt 2023_06-ML/AI Research Directions within the US Department of Energysearch Directions within the US Department of Energy-Osni Marques
• Foundational research themes of Scientific Machine Learning
• Opportunities for Scientific Machine Learning impact
pres_ExaInt 2023_05-A challenge of exploiting low precision computing in iterative linear solvers-Takeshi Fukaya
HPC challenges for new extreme scale applications
pres_ExaInt 2023_03-Intelligent Simulations Will Demand New Extreme-scale Computing Capabilities-Ian Foster Paris March 2023
“What will we do with exascale computers?”
pres_ExaInt 2023_02-Innovative Supercomputing by Integration of Simulation/Data/Learning-KN Paris
HPC Challenges for New Extreme Scale Applications