hpcaitech / SkyComputing
Sky Computing: Accelerating Geo-distributed Computing in Federated Learning
☆89Updated last year
Related projects: ⓘ
- A Python library transfers PyTorch tensors between CPU and NVMe☆92Updated last year
- Performance benchmarking with ColossalAI☆38Updated 2 years ago
- A high-performance distributed deep learning system targeting large-scale and automated distributed training. If you have any interests, …☆101Updated 9 months ago
- ☆65Updated 2 years ago
- Automated Parallelization System and Infrastructure for Multiple Ecosystems☆70Updated last month
- A resilient distributed training framework☆78Updated 5 months ago
- ☆62Updated 3 years ago
- A baseline repository of Auto-Parallelism in Training Neural Networks☆138Updated 2 years ago
- AlpaServe: Statistical Multiplexing with Model Parallelism for Deep Learning Serving (OSDI 23)☆76Updated last year
- 🔮 Execution time predictions for deep neural network training iterations across different GPUs.☆55Updated last year
- A low-latency & high-throughput serving engine for LLMs☆174Updated last week
- ☆14Updated last year
- FTPipe and related pipeline model parallelism research.☆41Updated last year
- A Deep Learning Cluster Scheduler☆36Updated 3 years ago
- PyTorch implementation of paper "Response Length Perception and Sequence Scheduling: An LLM-Empowered LLM Inference Pipeline".☆70Updated last year
- (NeurIPS 2022) Automatically finding good model-parallel strategies, especially for complex models and clusters.☆33Updated last year
- High performance RDMA-based distributed feature collection component for training GNN model on EXTREMELY large graph☆46Updated 2 years ago
- [ICML 2024] Serving LLMs on heterogeneous decentralized clusters.☆14Updated 4 months ago
- [OSDI'24] Serving LLM-based Applications Efficiently with Semantic Variable☆89Updated last week
- A ChatGPT(GPT-3.5) & GPT-4 Workload Trace to Optimize LLM Serving Systems☆110Updated last month
- ☆25Updated 3 years ago
- Summary of system papers/frameworks/codes/tools on training or serving large model☆56Updated 9 months ago
- Scalable PaLM implementation of PyTorch☆191Updated last year
- An experimental parallel training platform☆46Updated 5 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…☆153Updated last week
- PyTorch library for cost-effective, fast and easy serving of MoE models.☆90Updated last month
- Surrogate-based Hyperparameter Tuning System☆26Updated last year
- Here are my personal paper reading notes (including cloud computing, resource management, systems, machine learning, deep learning, and o…☆38Updated last month
- PipeSwitch: Fast Pipelined Context Switching for Deep Learning Applications☆124Updated 2 years ago
- A high-performance distributed deep learning system targeting large-scale and automated distributed training.☆256Updated 9 months ago