This repository is DNN training system with SSD as augmented memory of GPU based on PyTorch. Final submission plan of this research is NSDI 2020.
- TensorFlow-serving system with vDNN (Latency?)
- Spark ML with vDNN (Throughput of vDNN?)
- Computing utilization with throughput graph
- Memory usage breakdown
- Implementing vDNN on PyTorch
- Implementing ARCP2P on PyTorch
- Porting CycleGAN / BERT
- Performance optimization
PyTorch-P2P is BSD-style licensed, as found in the LICENSE file (same as original PyTorch).