DachengLi1 / AMPLinks
(NeurIPS 2022) Automatically finding good model-parallel strategies, especially for complex models and clusters.
☆43Updated 3 years ago
Alternatives and similar repositories for AMP
Users that are interested in AMP are comparing it to the libraries listed below
Sorting:
- ☆77Updated 4 years ago
- ☆84Updated 3 years ago
- FTPipe and related pipeline model parallelism research.☆43Updated 2 years ago
- A resilient distributed training framework☆96Updated last year
- nnScaler: Compiling DNN models for Parallel Training☆121Updated 3 months ago
- A schedule language for large model training☆152Updated 4 months ago
- Chimera: bidirectional pipeline parallelism for efficiently training large-scale models.☆69Updated 9 months ago
- ☆89Updated 3 years ago
- Supplemental materials for The ASPLOS 2025 / EuroSys 2025 Contest on Intra-Operator Parallelism for Distributed Deep Learning☆24Updated 7 months ago
- An experimental parallel training platform☆56Updated last year
- Automated Parallelization System and Infrastructure for Multiple Ecosystems☆82Updated last year
- ☆164Updated last year
- ☆25Updated 2 years ago
- ☆82Updated 7 months ago
- Flash-LLM: Enabling Cost-Effective and Highly-Efficient Large Generative Model Inference with Unstructured Sparsity☆230Updated 2 years ago
- AlpaServe: Statistical Multiplexing with Model Parallelism for Deep Learning Serving (OSDI 23)☆92Updated 2 years ago
- A high-performance distributed deep learning system targeting large-scale and automated distributed training. If you have any interests, …☆122Updated 2 years ago
- Microsoft Collective Communication Library☆66Updated last year
- Official repository for the paper DynaPipe: Optimizing Multi-task Training through Dynamic Pipelines☆20Updated 2 years ago
- ☆80Updated 2 months ago
- [ICML 2024] Serving LLMs on heterogeneous decentralized clusters.☆33Updated last year
- ☆28Updated 4 years ago
- PET: Optimizing Tensor Programs with Partially Equivalent Transformations and Automated Corrections☆122Updated 3 years ago
- ☆17Updated 3 years ago
- ☆145Updated 11 months ago
- DISB is a new DNN inference serving benchmark with diverse workloads and models, as well as real-world traces.☆57Updated last year
- A baseline repository of Auto-Parallelism in Training Neural Networks☆147Updated 3 years ago
- ☆42Updated 2 years ago
- A lightweight design for computation-communication overlap.☆206Updated last week
- [IJCAI2023] An automated parallel training system that combines the advantages from both data and model parallelism. If you have any inte…☆52Updated 2 years ago