Youhe-Jiang / IJCAI2023-OptimalShardedDataParallel
[IJCAI2023] An automated parallel training system that combines the advantages from both data and model parallelism. If you have any interests, please visit/star/fork https://github.com/Youhe-Jiang/OptimalShardedDataParallel
☆51Updated last year
Alternatives and similar repositories for IJCAI2023-OptimalShardedDataParallel:
Users that are interested in IJCAI2023-OptimalShardedDataParallel are comparing it to the libraries listed below
- nnScaler: Compiling DNN models for Parallel Training☆101Updated last month
- ☆72Updated 3 years ago
- (NeurIPS 2022) Automatically finding good model-parallel strategies, especially for complex models and clusters.☆38Updated 2 years ago
- [ICML 2024] Serving LLMs on heterogeneous decentralized clusters.☆22Updated 10 months ago
- AlpaServe: Statistical Multiplexing with Model Parallelism for Deep Learning Serving (OSDI 23)☆82Updated last year
- ☆53Updated 9 months ago
- A ChatGPT(GPT-3.5) & GPT-4 Workload Trace to Optimize LLM Serving Systems☆153Updated 5 months ago
- ☆80Updated 2 years ago
- A resilient distributed training framework☆89Updated 11 months ago
- PipeTransformer: Automated Elastic Pipelining for Distributed Training of Large-scale Models. ICML 2021☆56Updated 3 years ago
- LLM serving cluster simulator☆93Updated 10 months ago
- ☆79Updated 3 months ago
- ☆75Updated 2 years ago
- A Cluster-Wide Model Manager to Accelerate DNN Training via Automated Training Warmup☆34Updated 2 years ago
- Chimera: Efficiently Training Large-Scale Neural Networks with Bidirectional Pipelines.☆60Updated last year
- ☆52Updated 11 months ago
- A high-performance distributed deep learning system targeting large-scale and automated distributed training. If you have any interests, …☆108Updated last year
- Official Repo for "LLM-PQ: Serving LLM on Heterogeneous Clusters with Phase-Aware Partition and Adaptive Quantization"☆28Updated last year
- An experimental parallel training platform☆54Updated 11 months ago
- Stateful LLM Serving☆48Updated last week
- ☆88Updated 4 months ago
- Automated Parallelization System and Infrastructure for Multiple Ecosystems☆78Updated 4 months ago
- PyTorch implementation of paper "Response Length Perception and Sequence Scheduling: An LLM-Empowered LLM Inference Pipeline".☆85Updated last year
- Official repository for the paper DynaPipe: Optimizing Multi-task Training through Dynamic Pipelines☆17Updated last year
- ☆137Updated 7 months ago
- Since the emergence of chatGPT in 2022, the acceleration of Large Language Model has become increasingly important. Here is a list of pap…☆233Updated 2 weeks ago
- LLM checkpointing for DeepSpeed/Megatron☆15Updated last month
- A baseline repository of Auto-Parallelism in Training Neural Networks☆143Updated 2 years ago
- ☆87Updated 6 months ago
- [NeurIPS 2024] Efficient LLM Scheduling by Learning to Rank☆42Updated 4 months ago