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:
Workshop on Machine Learning with Graphs in High Performance Computing Environments
Session Chairs
Seung-Hwan Lim
Oak Ridge National Laboratory (ORNL)
José Moreira
IBM
Catherine Schuman
University of Tennessee, Knoxville
Richard Vuduc
Georgia Institute of Technology
Event Type
Workshop
Time
Monday, 13 November 2023
2pm
-
5:30pm
Location
704-706
Tags
Artificial Intelligence/Machine Learning
Graph Algorithms and Frameworks
Registration Categories
W
Presentations
2:00pm
-
2:05pm
Welcome Machine Learning with Graphs in High Performance Computing Environment
Presenter
Seung-Hwan Lim
2:05pm
-
3:00pm
Invited Talk: Practical Machine Learning on Biological Knowledge Graphs
Presenter
Justin Reese
3:00pm
-
3:30pm
MLG-HPCE – Afternoon Break
3:30pm
-
3:54pm
Addressing Stale Gradients in Scalable Federated Deep Reinforcement Learning
Author/Presenters
Justin Stanley
Ali Jannesari
Artificial Intelligence/Machine Learning
3:54pm
-
4:18pm
An Efficient Distributed Graph Engine for Deep Learning on Graphs
Author/Presenters
Gangda Deng
Ömer Akgül
Hongkuan Zhou
Hanqing Zeng
Yinglong Xia
Jianbo Li
Viktor Prasanna
Artificial Intelligence/Machine Learning
4:18pm
-
4:42pm
HPC-GPT: Integrating Large Language Model for High-Performance Computing
Author/Presenters
Xianzhong Ding
Le Chen
Murali Emani
Chunhua Liao
Pei-Hung Lin
Tristan Vanderbruggen
Zhen Xie
Alberto Cerpa
Wan Du
Artificial Intelligence/Machine Learning
4:42pm
-
5:06pm
DDStore: Distributed Data Store for Scalable Training of Graph Neural Networks on Large Atomistic Modeling Datasets
Author/Presenters
Jong Youl Choi
Massimiliano Lupo Pasini
Pei Zhang
Kshitij Mehta
Frank Liu
Jonghyun Bae
Khaled Ibrahim
Artificial Intelligence/Machine Learning
5:06pm
-
5:30pm
An Analysis of Graph Neural Network Memory Access Patterns
Author/Presenters
Satoshi Iwata
Remzi H. Arpaci-Dusseau
Akihiko Kasagi
Artificial Intelligence/Machine Learning
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