| Time | Event |
|---|---|
| 8:30 - 9:00 AM | Welcome and Introduction Antonino Tumeo (PNNL) |
| 9:00 - 10:00 AM | Keynote 1 Chair: Antonino Tumeo (PNNL) Learning-Augmented and Parallel Algorithms for Large-scale Metric Spanning Tree Computation Nate Veldt (Texas A&M) |
| 10:00 - 10:30 AM | Coffee Break |
| 10:30 - 12:00 AM | Graph Learning & Neural Networks Chair: TBD Learning-Augmented Algorithms for Graph Sparsification and Steiner Trees Ahmed, Chiu, Ghosh, Goodrich, Jun, Kobourov Alternative Decomposed Message Passing for Efficient Geometric GNNs Tasci, Kuppannagari DistFusedMM: A Distributed-Memory Fused SDDMM–SpMM Algorithm Ranawaka, Anubha, Pathiranage, Azad Laplacian-LoRA: Delaying Oversmoothing in Deep GCNs (short) Alisetti |
| 12:00 AM - 1:30 PM | Lunch Break |
| 1:30 - 2:30 PM | Keynote 2 Chair: TBD How to efficiently use large-scale systems? Dealing with errors and variable capacity. Anne Benoit (ENS Lyon) |
| 2:30 - 3:00 PM | Session 2A High-Performance Graph Kernels Chair: TBD Sparsity-Aware Roofline Models for SpMM Qian, Ramadan, Anubha, Azad |
| 3:00 - 3:30 PM | Coffee Break |
| 3:30 - 4:30 PM | Session 2B High-Performance Graph Kernels Chair: TBD CHROMA: High-Quality Robust Graph Coloring on GPUs Hsieh, Wu, Kuo A Multi-Queue Design for High-Performance GPU Priority Queues Li Approximate Matching for Fuzzy Set Similarity (short) Mandulak, Ferdous, Ghosh, Halappanavar, Slota |
| 4:30 - 5:25 PM | GrAPL Panel & Community Discussion TBD |
| 5:25 - 5:30 PM | Concluding Remarks Antonino Tumeo (PNNL) |
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