no code implementations • 26 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.
2 code implementations • 3 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.
