Session
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Workshop on Machine Learning with Graphs in High Performance Computing Environments
Event TypeWorkshop
TimeMonday, 13 November 20232pm - 5:30pm MST
Location704-706
Artificial Intelligence/Machine Learning
Graph Algorithms and Frameworks
W
Presentations
2:00pm - 2:05pm MST | Welcome Machine Learning with Graphs in High Performance Computing Environment Presenter | |
2:05pm - 3:00pm MST | Invited talk: Practical Machine Learning on Biological Knowledge Graphs Presenter | |
3:00pm - 3:30pm MST | MLG-HPCE – Afternoon Break | |
3:30pm - 3:54pm MST | Addressing Stale Gradients in Scalable Federated Deep Reinforcement Learning | |
3:54pm - 4:18pm MST | An Efficient Distributed Graph Engine for Deep Learning on Graphs | |
4:18pm - 4:42pm MST | HPC-GPT: Integrating Large Language Model for High-Performance Computing | |
4:42pm - 5:06pm MST | DDStore: Distributed Data Store for Scalable Training of Graph Neural Networks on Large Atomistic Modeling Datasets | |
5:06pm - 5:30pm MST | An Analysis of Graph Neural Network Memory Access Patterns |