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
- ☆70Updated 3 years ago
- nnScaler: Compiling DNN models for Parallel Training☆91Updated this week
- (NeurIPS 2022) Automatically finding good model-parallel strategies, especially for complex models and clusters.☆37Updated 2 years ago
- ☆75Updated 2 years ago
- PyTorch implementation of paper "Response Length Perception and Sequence Scheduling: An LLM-Empowered LLM Inference Pipeline".☆81Updated last year
- A resilient distributed training framework☆88Updated 10 months ago
- A Cluster-Wide Model Manager to Accelerate DNN Training via Automated Training Warmup☆34Updated 2 years ago
- Automated Parallelization System and Infrastructure for Multiple Ecosystems☆78Updated 2 months ago
- [ICML 2024] Serving LLMs on heterogeneous decentralized clusters.☆19Updated 9 months ago
- Official Repo for "LLM-PQ: Serving LLM on Heterogeneous Clusters with Phase-Aware Partition and Adaptive Quantization"☆28Updated 11 months ago
- A ChatGPT(GPT-3.5) & GPT-4 Workload Trace to Optimize LLM Serving Systems☆145Updated 4 months ago
- ☆50Updated 8 months ago
- ☆79Updated 2 months ago
- ☆74Updated 2 years ago
- AlpaServe: Statistical Multiplexing with Model Parallelism for Deep Learning Serving (OSDI 23)☆81Updated last year
- Chimera: Efficiently Training Large-Scale Neural Networks with Bidirectional Pipelines.☆56Updated last year
- A high-performance distributed deep learning system targeting large-scale and automated distributed training. If you have any interests, …☆107Updated last year
- ☆16Updated 2 years ago
- ☆83Updated 3 months ago
- ☆134Updated 6 months ago
- Official implementation of ICML 2024 paper "ExCP: Extreme LLM Checkpoint Compression via Weight-Momentum Joint Shrinking".☆46Updated 7 months ago
- High performance Transformer implementation in C++.☆101Updated 3 weeks ago
- ☆81Updated 5 months ago
- ☆41Updated 2 years ago
- Official repository for the paper DynaPipe: Optimizing Multi-task Training through Dynamic Pipelines☆17Updated last year
- PyTorch bindings for CUTLASS grouped GEMM.☆64Updated 3 months ago
- PipeTransformer: Automated Elastic Pipelining for Distributed Training of Large-scale Models. ICML 2021☆55Updated 3 years ago
- PyTorch library for cost-effective, fast and easy serving of MoE models.☆128Updated this week
- Stateful LLM Serving☆46Updated 6 months ago
- An experimental parallel training platform☆54Updated 10 months ago