hclhkbu / gtopkssgd
gTop-k S-SGD: A Communication-Efficient Distributed Synchronous SGD Algorithm for Deep Learning
☆35Updated 5 years ago
Related projects: ⓘ
- GRACE - GRAdient ComprEssion for distributed deep learning☆134Updated last month
- Atomo: Communication-efficient Learning via Atomic Sparsification☆25Updated 5 years ago
- Understanding Top-k Sparsification in Distributed Deep Learning☆22Updated 4 years ago
- Layer-wise Sparsification of Distributed Deep Learning☆10Updated 4 years ago
- Partial implementation of paper "DEEP GRADIENT COMPRESSION: REDUCING THE COMMUNICATION BANDWIDTH FOR DISTRIBUTED TRAINING"☆31Updated 3 years ago
- QSGD-TF☆21Updated 5 years ago
- It is implementation of Research paper "DEEP GRADIENT COMPRESSION: REDUCING THE COMMUNICATION BANDWIDTH FOR DISTRIBUTED TRAINING". Deep g…☆18Updated 5 years ago
- Dual-way gradient sparsification approach for async DNN training, based on PyTorch.☆11Updated last year
- [ICLR 2018] Deep Gradient Compression: Reducing the Communication Bandwidth for Distributed Training☆209Updated 2 months ago
- Implementation of Parameter Server using PyTorch communication lib☆42Updated 5 years ago
- Ok-Topk is a scheme for distributed training with sparse gradients. Ok-Topk integrates a novel sparse allreduce algorithm (less than 6k c…☆23Updated last year
- ddl-benchmarks: Benchmarks for Distributed Deep Learning☆37Updated 4 years ago
- MG-WFBP: Merging Gradients Wisely for Efficient Communication in Distributed Deep Learning☆12Updated 3 years ago
- Algorithm: Decentralized Parallel Stochastic Gradient Descent☆41Updated 6 years ago
- vector quantization for stochastic gradient descent.☆33Updated 4 years ago
- Sketched SGD☆28Updated 4 years ago
- ☆42Updated 4 years ago
- Sparsified SGD with Memory: https://arxiv.org/abs/1809.07599☆54Updated 5 years ago
- Code for reproducing experiments performed for Accoridon☆12Updated 3 years ago
- A computation-parallel deep learning architecture.☆12Updated 4 years ago
- ☆10Updated 3 years ago
- ☆27Updated 4 years ago
- Code for the signSGD paper☆79Updated 3 years ago
- Implementation of (overlap) local SGD in Pytorch☆32Updated 4 years ago
- Stochastic Gradient Push for Distributed Deep Learning☆156Updated last year
- Source code of ICLR2020 submisstion: Zeno++: Robust Fully Asynchronous SGD☆13Updated 4 years ago
- Ternary Gradients to Reduce Communication in Distributed Deep Learning (TensorFlow)☆180Updated 5 years ago
- A Cluster-Wide Model Manager to Accelerate DNN Training via Automated Training Warmup☆31Updated last year
- Hi-Speed DNN Training with Espresso: Unleashing the Full Potential of Gradient Compression with Near-Optimal Usage Strategies (EuroSys '2…☆12Updated last year
- ☆28Updated 3 years ago