Parameter Hub: a Rack-Scale Parameter Server for Distributed Deep Neural Network Training
Value-Aware Quantization for Training and Inference of Neural Networks
Profile-guided memory optimization for deep neural networks
Deeper Image Quality Transfer: Training Low-Memory Neural Networks for 3D Images
Layrub: layer-centric GPU memory reuse and data migration in extreme-scale deep learning systems
TFLMS: Large Model Support in TensorFlow by Graph Rewriting