| Time | Track 1 | Track 2 | Track 3 | |
| BOS AI | BOS Tasking | ST Arch 1 | ||
| 9:15 | AI for Science >TBA | Task-Based Runtime Systems: Thomas Herault-Inria, Olivier Aumag-Inria, Vicenç Beltran-BSC, Sanja Kale-UIUC, Swan Peramau-ANL, Others-TBD | Low precision computing on modern hardware: Longfei Gao | ANL |
| 9:30 | Prototyping Specialized Architecture Using Modern Open-Source Hardware Tools: Kazutomo Yoshii | ANL | ||
| 9:45 | Scaling Complex Weather and Climate Models on Exascale Systems and Heterogeneous Hardware: Manoel Römmer | JSC | ||
| BOS AI | BOS Tasking | ST Arch 2 | ||
| 10:15 | AI for Science >TBA | Task-Based Runtime Systems: Thomas Herault-Inria, Olivier Aumag-Inria, Vicenç Beltran-BSC, Sanja Kale-UIUC, Swan Peramau-ANL, Others-TBD | Low precision computiPoseidon: Source-to-Source eDSL Uplifting and Holistic HPC Optimization of Ocean Models: Julien Rémy | Inria |
| 10:30 | Exploring MPI’s Potential for AI: Mike Wilkins | ANL | ||
| 10:45 | New Features From MPICH: Hui Zhou | ANL | ||
| BOS AI | BOS Tasking | ST Arch 3 | ||
| 11:15 | AI for Science >TBA |
Task-Based Runtime Systems: Thomas Herault-Inria, Olivier Aumag-Inria, Vicenç Beltran-BSC, Sanja Kale-UIUC, Swan Peramau-ANL, Others-TBD | Challenges for building the Edge-Cloud-HPC Data Continuum: Gabriel Antoniu | Inria |
| Free | ||||
| Free | ||||
| K2 | ||||
| 12:00 | TBA: Mathis Bode JSC | |||
| BOS AI | BOS Tasking | ST Arch 4 | ||
| 13:15 | AI for Science >TBA |
Task-Based Runtime Systems >TBA | Evaluating Energy Efficiency of AI Accelerators: Farah Ferdaus | ANL |
| 13:30 | Assessing the Impact of Memory Placement on Application Performance for Aurora: Romain Pereira | ANL | ||
| 13:45 | High-Precision High-Performance Computer-enabled Digital Twin (HP2C-DT): Eduardo Iraola | BSC | ||
| BOS AI | ST Perf 1 | ST Res | |||
| 14:15 | AI for Science >TBA | Pallas: A New Trace Format for Exascale Analysis: Catherine Guelque | Inria | Rollback-recovery strategies with unreliable silent error detection: Thomas Herault | Inria |
| 14:30 | exaCB: Enabling Continuous Benchmarking and Performance Optimization on Exascale Systems: Jayesh Badwaik | JSC | Fixed-work vs fixed-time checkpointing: Anne Benoit | Inria | |
| 14:45 | Machine Learning Benchmarks for Accelerators: Chelsea Maria John | JSC | A tool for Checkpointing and Checkpointing for a tool: AutoCheck and ReMPI/ReOMP: Kento Sato | R-CCS | |
| BOS AI | ST Perf 2 | ||||
| 15:15 | AI for Science >TBA | Diffusion-based Load Balancing: Maya Taylor | UIUC/ NCSA | ||
| 15:30 | NRM: An Infrastructure for the Dynamic Reconfiguration of Systems: Swann Peramau | ANL | |||
| 15:45 | Exploring the Performance and Energy Tradeoff in Aurora's PVC GPUs: Solomon Bekel | ANL | |||
| AI Panel | |||||
| 16:15 | |||||
