Bilkent University
Department of Computer Engineering

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CS 590/690 SEMINAR

 

Hyperparameter aware partitioning for efficient GNN training

 

Emre Erdal
Master Student
(Supervisor: Prof.Dr.Cevdet Aykanat)
Computer Engineering Department
Bilkent University

Abstract: In this project, we explore how to better balance the computational load in training multilayer Graph Neural Networks (GNNs). The need for this comes from the fact that in GNNs, the amount of computation needed can change a lot between layers due to different settings, or "hyperparameters," making some parts of the training process heavier on the system than others. We will investigate and implement different combinatorial models and methods to tackle this problem in order to scale parallel training of multilayer GNNs on distributed-memory systems.

 

DATE: April 01, Monday @ 14:10 Place: EA 502