lzhangbv / dear_pytorch
[ICDCS 2023] DeAR: Accelerating Distributed Deep Learning with Fine-Grained All-Reduce Pipelining
☆12Updated last year
Alternatives and similar repositories for dear_pytorch
Users that are interested in dear_pytorch are comparing it to the libraries listed below
Sorting:
- A Cluster-Wide Model Manager to Accelerate DNN Training via Automated Training Warmup☆34Updated 2 years ago
- PipeTransformer: Automated Elastic Pipelining for Distributed Training of Large-scale Models. ICML 2021☆56Updated 3 years ago
- ☆24Updated last year
- Official resporitory for "IPDPS' 24 QSync: Quantization-Minimized Synchronous Distributed Training Across Hybrid Devices".☆20Updated last year
- (NeurIPS 2022) Automatically finding good model-parallel strategies, especially for complex models and clusters.☆38Updated 2 years ago
- ddl-benchmarks: Benchmarks for Distributed Deep Learning☆37Updated 4 years ago
- ☆72Updated 4 years ago
- [IJCAI2023] An automated parallel training system that combines the advantages from both data and model parallelism. If you have any inte…☆51Updated last year
- [ICML 2024] Serving LLMs on heterogeneous decentralized clusters.☆25Updated last year
- ☆27Updated 3 years ago
- Machine Learning System☆14Updated 5 years ago
- ☆19Updated 3 years ago
- Cupcake: A Compression Scheduler for Scalable Communication-Efficient Distributed Training (MLSys '23)☆9Updated last year
- A Deep Learning Cluster Scheduler☆37Updated 4 years ago
- 🔮 Execution time predictions for deep neural network training iterations across different GPUs.☆62Updated 2 years ago
- A lightweight design for computation-communication overlap.☆92Updated last week
- BytePS examples (Vision, NLP, GAN, etc)☆19Updated 2 years ago
- An Attention Superoptimizer☆21Updated 3 months ago
- FTPipe and related pipeline model parallelism research.☆41Updated last year
- [NeurIPS 2024] Efficient LLM Scheduling by Learning to Rank☆48Updated 6 months ago
- Surrogate-based Hyperparameter Tuning System☆28Updated last year
- A resilient distributed training framework☆95Updated last year
- ☆79Updated 3 weeks ago
- ☆16Updated 2 years ago
- ☆35Updated 4 years ago
- Artifact for "Apparate: Rethinking Early Exits to Tame Latency-Throughput Tensions in ML Serving" [SOSP '24]☆24Updated 5 months ago
- ☆20Updated 3 years ago
- Dynamic resources changes for multi-dimensional parallelism training☆25Updated 6 months ago
- Hi-Speed DNN Training with Espresso: Unleashing the Full Potential of Gradient Compression with Near-Optimal Usage Strategies (EuroSys '2…☆15Updated last year
- Cavs: An Efficient Runtime System for Dynamic Neural Networks☆14Updated 4 years ago