hpcaitech / SkyComputingLinks
Sky Computing: Accelerating Geo-distributed Computing in Federated Learning
☆91Updated 2 years ago
Alternatives and similar repositories for SkyComputing
Users that are interested in SkyComputing are comparing it to the libraries listed below
Sorting:
- A high-performance distributed deep learning system targeting large-scale and automated distributed training. If you have any interests, …☆121Updated last year
- A Python library transfers PyTorch tensors between CPU and NVMe☆120Updated 9 months ago
- (NeurIPS 2022) Automatically finding good model-parallel strategies, especially for complex models and clusters.☆40Updated 2 years ago
- Automated Parallelization System and Infrastructure for Multiple Ecosystems☆79Updated 9 months ago
- ☆85Updated 3 years ago
- A memory efficient DLRM training solution using ColossalAI☆106Updated 2 years ago
- Performance benchmarking with ColossalAI☆39Updated 3 years ago
- A simple calculation for LLM MFU.☆44Updated 6 months ago
- ☆94Updated 3 years ago
- A resilient distributed training framework☆94Updated last year
- Summary of system papers/frameworks/codes/tools on training or serving large model☆57Updated last year
- 📑 Dive into Big Model Training☆114Updated 2 years ago
- ☆28Updated 4 years ago
- PyTorch implementation of paper "Response Length Perception and Sequence Scheduling: An LLM-Empowered LLM Inference Pipeline".☆90Updated 2 years ago
- ☆75Updated 4 years ago
- Easy Parallel Library (EPL) is a general and efficient deep learning framework for distributed model training.☆267Updated 2 years ago
- [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
- ☆121Updated last year
- Inference framework for MoE layers based on TensorRT with Python binding☆41Updated 4 years ago
- PipeTransformer: Automated Elastic Pipelining for Distributed Training of Large-scale Models. ICML 2021☆56Updated 4 years ago
- [OSDI'24] Serving LLM-based Applications Efficiently with Semantic Variable☆181Updated 11 months ago
- ☆69Updated last year
- ATC23 AE☆46Updated 2 years ago
- DISB is a new DNN inference serving benchmark with diverse workloads and models, as well as real-world traces.☆53Updated last year
- Chimera: bidirectional pipeline parallelism for efficiently training large-scale models.☆66Updated 5 months ago
- 方便扩展的Cuda算子理解和优化框架,仅用在学习使用☆16Updated last year
- SpotServe: Serving Generative Large Language Models on Preemptible Instances☆128Updated last year
- Elixir: Train a Large Language Model on a Small GPU Cluster☆15Updated 2 years ago
- sensAI: ConvNets Decomposition via Class Parallelism for Fast Inference on Live Data☆64Updated last year
- ☆18Updated this week