Distributed Methods
PipeDream
PipeDream is an asynchronous pipeline parallel strategy for training large neural networks. It adds inter-batch pipelining to intra-batch parallelism to further improve parallel training throughput, helping to better overlap computation with communication and reduce the amount of communication when possible.
Papers
| Paper | Code | Results | Date | Stars |
|---|
Tasks
| Task | Papers | Share |
|---|---|---|
| Image Classification | 1 | 25.00% |
| Machine Translation | 1 | 25.00% |
| Sentiment Analysis | 1 | 25.00% |
| Edge-computing | 1 | 25.00% |
Usage Over Time
Components
| Component | Type |
|
|---|---|---|
| 🤖 No Components Found | You can add them if they exist; e.g. Mask R-CNN uses RoIAlign |
