hwang595 / PyTorch-parameter-serverLinks
Implementation of Parameter Server using PyTorch communication lib
☆42Updated 6 years ago
Alternatives and similar repositories for PyTorch-parameter-server
Users that are interested in PyTorch-parameter-server are comparing it to the libraries listed below
Sorting:
- ddl-benchmarks: Benchmarks for Distributed Deep Learning☆36Updated 5 years ago
- GRACE - GRAdient ComprEssion for distributed deep learning☆139Updated last year
- Dual-way gradient sparsification approach for async DNN training, based on PyTorch.☆11Updated 3 years ago
- BytePS examples (Vision, NLP, GAN, etc)☆19Updated 3 years ago
- Sparsified SGD with Memory: https://arxiv.org/abs/1809.07599☆58Updated 7 years ago
- implement distributed machine learning with Pytorch + OpenMPI☆52Updated 6 years ago
- ☆22Updated 6 years ago
- gTop-k S-SGD: A Communication-Efficient Distributed Synchronous SGD Algorithm for Deep Learning☆36Updated 6 years ago
- Distributed ML Training Benchmarks☆27Updated 2 years ago
- ☆21Updated 3 years ago
- PipeTransformer: Automated Elastic Pipelining for Distributed Training of Large-scale Models. ICML 2021☆56Updated 4 years ago
- [ICLR 2018] Deep Gradient Compression: Reducing the Communication Bandwidth for Distributed Training☆225Updated last year
- Model-less Inference Serving☆92Updated 2 years ago
- Partial implementation of paper "DEEP GRADIENT COMPRESSION: REDUCING THE COMMUNICATION BANDWIDTH FOR DISTRIBUTED TRAINING"☆31Updated 5 years ago
- PipeSwitch: Fast Pipelined Context Switching for Deep Learning Applications☆126Updated 3 years ago
- Artifacts for SOSP'19 paper Optimizing Deep Learning Computation with Automatic Generation of Graph Substitutions☆21Updated 3 years ago
- sensAI: ConvNets Decomposition via Class Parallelism for Fast Inference on Live Data☆65Updated last year
- An analytical performance modeling tool for deep neural networks.☆92Updated 5 years ago
- ☆83Updated 5 months ago
- A Deep Learning Cluster Scheduler☆38Updated 4 years ago
- [MLSys 2021] IOS: Inter-Operator Scheduler for CNN Acceleration☆200Updated 3 years ago
- Practical low-rank gradient compression for distributed optimization: https://arxiv.org/abs/1905.13727☆149Updated last year
- ☆133Updated 2 years ago
- CS294; AI For Systems and Systems For AI☆227Updated 6 years ago
- Sketched SGD☆28Updated 5 years ago
- Analyze network performance in distributed training☆19Updated 5 years ago
- Ternary Gradients to Reduce Communication in Distributed Deep Learning (TensorFlow)☆182Updated 7 years ago
- Simple Distributed Deep Learning on TensorFlow☆134Updated 5 months ago
- Layer-wise Sparsification of Distributed Deep Learning☆10Updated 5 years ago
- Dynamic Tensor Rematerialization prototype (modified PyTorch) and simulator. Paper: https://arxiv.org/abs/2006.09616☆133Updated 2 years ago