☆392Nov 4, 2022Updated 3 years ago
Alternatives and similar repositories for pipedream
Users that are interested in pipedream are comparing it to the libraries listed below
Sorting:
- An Efficient Pipelined Data Parallel Approach for Training Large Model☆75Dec 11, 2020Updated 5 years ago
- A GPipe implementation in PyTorch☆863Jul 25, 2024Updated last year
- ☆198Aug 31, 2019Updated 6 years ago
- Fine-grained GPU sharing primitives☆148Jul 28, 2025Updated 7 months ago
- Automatically Discovering Fast Parallelization Strategies for Distributed Deep Neural Network Training☆1,863Updated this week
- FTPipe and related pipeline model parallelism research.☆44May 16, 2023Updated 2 years ago
- Artifacts for our SIGCOMM'22 paper Muri☆43Dec 29, 2023Updated 2 years ago
- Microsoft Collective Communication Library☆385Sep 20, 2023Updated 2 years ago
- ☆25Apr 3, 2023Updated 2 years ago
- Code for "Heterogenity-Aware Cluster Scheduling Policies for Deep Learning Workloads", which appeared at OSDI 2020☆137Jul 25, 2024Updated last year
- Tiresias is a GPU cluster manager for distributed deep learning training.☆166May 7, 2020Updated 5 years ago
- Fast and Adaptive Distributed Machine Learning for TensorFlow, PyTorch and MindSpore.☆295Feb 23, 2024Updated 2 years ago
- ☆23Jun 5, 2019Updated 6 years ago
- PipeSwitch: Fast Pipelined Context Switching for Deep Learning Applications☆127May 9, 2022Updated 3 years ago
- GPU-scheduler-for-deep-learning☆210Nov 5, 2020Updated 5 years ago
- A high performance and generic framework for distributed DNN training☆3,716Oct 3, 2023Updated 2 years ago
- Chimera: bidirectional pipeline parallelism for efficiently training large-scale models.☆70Mar 20, 2025Updated 11 months ago
- ☆78May 4, 2021Updated 4 years ago
- PipeTransformer: Automated Elastic Pipelining for Distributed Training of Large-scale Models. ICML 2021☆56Jul 21, 2021Updated 4 years ago
- Resource-adaptive cluster scheduler for deep learning training.☆454Mar 5, 2023Updated 2 years ago
- ☆44Sep 6, 2021Updated 4 years ago
- A tensor-aware point-to-point communication primitive for machine learning☆283Dec 17, 2025Updated 2 months ago
- ☆26Aug 31, 2023Updated 2 years ago
- A flexible and efficient deep neural network (DNN) compiler that generates high-performance executable from a DNN model description.☆1,006Sep 19, 2024Updated last year
- Training neural networks in TensorFlow 2.0 with 5x less memory☆137Feb 21, 2022Updated 4 years ago
- An experimental parallel training platform☆56Mar 25, 2024Updated last year
- Training and serving large-scale neural networks with auto parallelization.☆3,183Dec 9, 2023Updated 2 years ago
- A Cluster-Wide Model Manager to Accelerate DNN Training via Automated Training Warmup☆35Jan 9, 2023Updated 3 years ago
- An Efficient Dynamic Resource Scheduler for Deep Learning Clusters☆41Oct 28, 2017Updated 8 years ago
- An Attention Superoptimizer☆22Jan 20, 2025Updated last year
- Analyze network performance in distributed training☆20Oct 20, 2020Updated 5 years ago
- A resilient distributed training framework☆97Apr 11, 2024Updated last year
- ☆84Dec 2, 2022Updated 3 years ago
- Simple Distributed Deep Learning on TensorFlow☆134Feb 5, 2026Updated 3 weeks ago
- ddl-benchmarks: Benchmarks for Distributed Deep Learning☆36May 29, 2020Updated 5 years ago
- Machine Learning System☆14May 11, 2020Updated 5 years ago
- The Tensor Algebra SuperOptimizer for Deep Learning☆739Jan 26, 2023Updated 3 years ago
- Lightweight and Parallel Deep Learning Framework☆264Nov 26, 2022Updated 3 years ago
- ☆14Jan 12, 2022Updated 4 years ago