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☆140Updated last year
- Dual-way gradient sparsification approach for async DNN training, based on PyTorch.☆11Updated 2 years ago
- BytePS examples (Vision, NLP, GAN, etc)☆19Updated 2 years ago
- Distributed ML Training Benchmarks☆27Updated 2 years ago
- implement distributed machine learning with Pytorch + OpenMPI☆52Updated 6 years ago
- PipeTransformer: Automated Elastic Pipelining for Distributed Training of Large-scale Models. ICML 2021☆56Updated 4 years ago
- Sparsified SGD with Memory: https://arxiv.org/abs/1809.07599☆59Updated 6 years ago
- [ICLR 2018] Deep Gradient Compression: Reducing the Communication Bandwidth for Distributed Training☆224Updated last year
- ☆22Updated 6 years ago
- Model-less Inference Serving☆92Updated last year
- ☆21Updated 2 years ago
- CS294; AI For Systems and Systems For AI☆225Updated 6 years ago
- gTop-k S-SGD: A Communication-Efficient Distributed Synchronous SGD Algorithm for Deep Learning☆36Updated 6 years ago
- Partial implementation of paper "DEEP GRADIENT COMPRESSION: REDUCING THE COMMUNICATION BANDWIDTH FOR DISTRIBUTED TRAINING"☆31Updated 4 years ago
- Ternary Gradients to Reduce Communication in Distributed Deep Learning (TensorFlow)☆183Updated 6 years ago
- ☆84Updated 3 months ago
- sensAI: ConvNets Decomposition via Class Parallelism for Fast Inference on Live Data☆64Updated last year
- An analytical performance modeling tool for deep neural networks.☆90Updated 4 years ago
- PipeSwitch: Fast Pipelined Context Switching for Deep Learning Applications☆127Updated 3 years ago
- Simple Distributed Deep Learning on TensorFlow☆133Updated 3 months ago
- Practical low-rank gradient compression for distributed optimization: https://arxiv.org/abs/1905.13727☆148Updated 10 months ago
- Layer-wise Sparsification of Distributed Deep Learning☆10Updated 5 years ago
- Artifacts for SOSP'19 paper Optimizing Deep Learning Computation with Automatic Generation of Graph Substitutions☆21Updated 3 years ago
- Sketched SGD☆28Updated 5 years ago
- Code for reproducing experiments performed for Accoridon☆13Updated 4 years ago
- ☆77Updated 6 years ago
- Fast and Adaptive Distributed Machine Learning for TensorFlow, PyTorch and MindSpore.☆298Updated last year
- ☆46Updated 5 years ago
- FedNAS: Federated Deep Learning via Neural Architecture Search☆54Updated 4 years ago