Search Results for author: Peiming Yang

Found 2 papers, 1 papers with code

Accelerating Graph Neural Networks on Real Processing-In-Memory Systems

no code implementations26 Feb 2024 Christina Giannoula, Peiming Yang, Ivan Fernandez Vega, Jiacheng Yang, Yu Xin Li, Juan Gomez Luna, Mohammad Sadrosadati, Onur Mutlu, Gennady Pekhimenko

Graph Neural Network (GNN) execution involves both compute-intensive and memory-intensive kernels, the latter dominates the total time, being significantly bottlenecked by data movement between memory and processors.

Graph Neural Network

Horizontally Fused Training Array: An Effective Hardware Utilization Squeezer for Training Novel Deep Learning Models

2 code implementations3 Feb 2021 Shang Wang, Peiming Yang, Yuxuan Zheng, Xin Li, Gennady Pekhimenko

Driven by the tremendous effort in researching novel deep learning (DL) algorithms, the training cost of developing new models increases staggeringly in recent years.

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