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Graph Neural Network Training and Data Tiering
Seung Won Min
, Kun Wu
, Mert Hidayetoǧlu
, Jinjun Xiong
, Xiang Song
,
Wen Mei Hwu
Electrical and Computer Engineering
Information Trust Institute
National Center for Supercomputing Applications (NCSA)
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Keyphrases
Access Strategy
14%
Communication Overhead
14%
CPU-GPU
28%
Data Access
14%
Data Access Pattern
14%
Data Placement Strategy
14%
Evaluation Results
14%
Fraud Detection
14%
GPU Communication
14%
GPU Memory
14%
Graph Neural Network
100%
Graph Structure
28%
Irregular Data
14%
Knowledge Graph Reasoning
14%
Memory Capacity
14%
Multi-GPU
28%
Network Data
100%
Neural Network Training
100%
Result Prediction
14%
Statistical Analysis
14%
Storage Tiering
100%
Training Intensity
14%
Training Process
14%
Computer Science
Communication Overhead
14%
Data Access Pattern
14%
Data Placement
14%
Data Structure
14%
Evaluation Result
14%
Fraud Detection
14%
Graph Neural Network
100%
Graphics Processing Unit
71%
Knowledge Graph
14%
Large Data Set
14%
Memory Capacity
14%
Neural Network Training
100%
Structured Data
14%
Training Process
14%