YuhanLiu11 / AutoFreeze
☆22Updated 4 years ago
Related projects ⓘ
Alternatives and complementary repositories for AutoFreeze
- [ICDCS 2023] DeAR: Accelerating Distributed Deep Learning with Fine-Grained All-Reduce Pipelining☆12Updated 11 months ago
- PipeTransformer: Automated Elastic Pipelining for Distributed Training of Large-scale Models. ICML 2021☆55Updated 3 years ago
- A Cluster-Wide Model Manager to Accelerate DNN Training via Automated Training Warmup☆34Updated last year
- (NeurIPS 2022) Automatically finding good model-parallel strategies, especially for complex models and clusters.☆34Updated 2 years ago
- ☆91Updated 2 years ago
- Surrogate-based Hyperparameter Tuning System☆27Updated last year
- This is the (evolving) reading list for the seminar.☆56Updated 4 years ago
- Official resporitory for "IPDPS' 24 QSync: Quantization-Minimized Synchronous Distributed Training Across Hybrid Devices".☆19Updated 8 months ago
- ☆44Updated last year
- Python package for rematerialization-aware gradient checkpointing☆23Updated last year
- Code for "Apparate: Rethinking Early Exits to Tame Latency-Throughput Tensions in ML Serving" [SOSP '24]☆16Updated last month
- BytePS examples (Vision, NLP, GAN, etc)☆19Updated last year
- Training neural networks in TensorFlow 2.0 with 5x less memory☆129Updated 2 years ago
- An external memory allocator example for PyTorch.☆13Updated 3 years ago
- Research and development for optimizing transformers☆125Updated 3 years ago
- sensAI: ConvNets Decomposition via Class Parallelism for Fast Inference on Live Data☆64Updated 3 months ago
- [IJCAI2023] An automated parallel training system that combines the advantages from both data and model parallelism. If you have any inte…☆51Updated last year
- Distributed ML Training Benchmarks☆26Updated last year
- A library for syntactically rewriting Python programs, pronounced (sinner).☆70Updated 2 years ago
- FTPipe and related pipeline model parallelism research.☆41Updated last year
- An Attention Superoptimizer☆20Updated 6 months ago
- Fairring (FAIR + Herring) is a plug-in for PyTorch that provides a process group for distributed training that outperforms NCCL at large …☆63Updated 2 years ago
- ☆19Updated last year
- ☆23Updated last year
- [ICDCS 2023] Evaluation and Optimization of Gradient Compression for Distributed Deep Learning☆10Updated last year
- Stateful LLM Serving☆38Updated 3 months ago
- A resilient distributed training framework☆85Updated 7 months ago
- Deadline-based hyperparameter tuning on RayTune.☆31Updated 4 years ago
- ☆39Updated 3 years ago
- ☆11Updated 3 years ago