hpcaitech / SkyComputing
Sky Computing: Accelerating Geo-distributed Computing in Federated Learning
☆90Updated 2 years ago
Alternatives and similar repositories for SkyComputing:
Users that are interested in SkyComputing are comparing it to the libraries listed below
- A Python library transfers PyTorch tensors between CPU and NVMe☆106Updated 3 months ago
- Performance benchmarking with ColossalAI☆39Updated 2 years ago
- A resilient distributed training framework☆88Updated 10 months ago
- Automated Parallelization System and Infrastructure for Multiple Ecosystems☆78Updated 3 months ago
- A high-performance distributed deep learning system targeting large-scale and automated distributed training. If you have any interests, …☆107Updated last year
- ☆79Updated 2 years ago
- ☆72Updated 3 years ago
- Summary of system papers/frameworks/codes/tools on training or serving large model☆56Updated last year
- [NeurIPS 2024] Efficient LLM Scheduling by Learning to Rank☆41Updated 4 months ago
- ☆16Updated 2 years ago
- (NeurIPS 2022) Automatically finding good model-parallel strategies, especially for complex models and clusters.☆38Updated 2 years ago
- PyTorch implementation of paper "Response Length Perception and Sequence Scheduling: An LLM-Empowered LLM Inference Pipeline".☆81Updated last year
- [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.☆21Updated 9 months ago
- ☆26Updated 3 years ago
- FTPipe and related pipeline model parallelism research.☆41Updated last year
- ☆92Updated 2 years ago
- PyTorch library for cost-effective, fast and easy serving of MoE models.☆138Updated this week
- 🔮 Execution time predictions for deep neural network training iterations across different GPUs.☆59Updated 2 years ago
- AlpaServe: Statistical Multiplexing with Model Parallelism for Deep Learning Serving (OSDI 23)☆82Updated last year
- TePDist (TEnsor Program DISTributed) is an HLO-level automatic distributed system for DL models.☆91Updated last year
- SpotServe: Serving Generative Large Language Models on Preemptible Instances☆112Updated last year
- PyTorch distributed training acceleration framework☆43Updated 2 weeks ago
- Easy Parallel Library (EPL) is a general and efficient deep learning framework for distributed model training.☆266Updated last year
- An Efficient Pipelined Data Parallel Approach for Training Large Model☆74Updated 4 years ago
- ☆79Updated 3 months ago
- PipeTransformer: Automated Elastic Pipelining for Distributed Training of Large-scale Models. ICML 2021☆56Updated 3 years ago
- High performance RDMA-based distributed feature collection component for training GNN model on EXTREMELY large graph☆51Updated 2 years ago
- Odysseus: Playground of LLM Sequence Parallelism☆65Updated 8 months ago
- A baseline repository of Auto-Parallelism in Training Neural Networks☆142Updated 2 years ago