Youhe-Jiang / IJCAI2023-OptimalShardedDataParallelLinks
[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
☆52Updated 2 years ago
Alternatives and similar repositories for IJCAI2023-OptimalShardedDataParallel
Users that are interested in IJCAI2023-OptimalShardedDataParallel are comparing it to the libraries listed below
Sorting:
- ☆75Updated 4 years ago
- (NeurIPS 2022) Automatically finding good model-parallel strategies, especially for complex models and clusters.☆40Updated 2 years ago
- [ICML 2024] Serving LLMs on heterogeneous decentralized clusters.☆27Updated last year
- Chimera: bidirectional pipeline parallelism for efficiently training large-scale models.☆66Updated 4 months ago
- nnScaler: Compiling DNN models for Parallel Training☆114Updated this week
- A resilient distributed training framework☆95Updated last year
- AlpaServe: Statistical Multiplexing with Model Parallelism for Deep Learning Serving (OSDI 23)☆83Updated 2 years ago
- ☆80Updated 2 years ago
- ☆81Updated 2 months ago
- An experimental parallel training platform☆54Updated last year
- ☆150Updated last year
- A high-performance distributed deep learning system targeting large-scale and automated distributed training. If you have any interests, …☆117Updated last year
- Automated Parallelization System and Infrastructure for Multiple Ecosystems☆79Updated 8 months ago
- Flash-LLM: Enabling Cost-Effective and Highly-Efficient Large Generative Model Inference with Unstructured Sparsity☆216Updated last year
- A schedule language for large model training☆149Updated last year
- Complete GPU residency for ML.☆37Updated last week
- PET: Optimizing Tensor Programs with Partially Equivalent Transformations and Automated Corrections☆122Updated 3 years ago
- ☆67Updated last year
- ☆86Updated 3 years ago
- A ChatGPT(GPT-3.5) & GPT-4 Workload Trace to Optimize LLM Serving Systems☆190Updated last week
- A lightweight design for computation-communication overlap.☆155Updated last month
- An Efficient Pipelined Data Parallel Approach for Training Large Model☆77Updated 4 years ago
- DISB is a new DNN inference serving benchmark with diverse workloads and models, as well as real-world traces.☆53Updated 11 months ago
- A baseline repository of Auto-Parallelism in Training Neural Networks☆144Updated 3 years ago
- FTPipe and related pipeline model parallelism research.☆41Updated 2 years ago
- Compiler for Dynamic Neural Networks☆46Updated last year
- PyTorch implementation of paper "Response Length Perception and Sequence Scheduling: An LLM-Empowered LLM Inference Pipeline".☆90Updated 2 years ago
- ☆42Updated 2 years ago
- ☆144Updated 6 months ago
- Artifact of OSDI '24 paper, ”Llumnix: Dynamic Scheduling for Large Language Model Serving“☆62Updated last year