HePGA: A Heterogeneous Processing-in-Memory based GNN Training Accelerator

Chukwufumnanya Ogbogu, Gaurav Narang, Biresh Kumar Joardar +3

Processing-In-Memory (PIM) architectures offer a promising approach to accelerate Graph Neural Network (GNN) training and inference. However, various PIM devices such as ReRAM, FeF…