guanh01 / CS692-mlsys
This is the (evolving) reading list for the seminar.
☆57Updated 4 years ago
Alternatives and similar repositories for CS692-mlsys:
Users that are interested in CS692-mlsys are comparing it to the libraries listed below
- FTPipe and related pipeline model parallelism research.☆41Updated last year
- Training neural networks in TensorFlow 2.0 with 5x less memory☆130Updated 3 years ago
- Research and development for optimizing transformers☆125Updated 4 years ago
- ☆44Updated last year
- ☆72Updated 3 years ago
- ☆22Updated 4 years ago
- PET: Optimizing Tensor Programs with Partially Equivalent Transformations and Automated Corrections☆119Updated 2 years ago
- System for automated integration of deep learning backends.☆48Updated 2 years ago
- PipeTransformer: Automated Elastic Pipelining for Distributed Training of Large-scale Models. ICML 2021☆56Updated 3 years ago
- A high-performance distributed deep learning system targeting large-scale and automated distributed training. If you have any interests, …☆108Updated last year
- (NeurIPS 2022) Automatically finding good model-parallel strategies, especially for complex models and clusters.☆38Updated 2 years ago
- Inference framework for MoE layers based on TensorRT with Python binding☆41Updated 3 years ago
- http://vlsiarch.eecs.harvard.edu/research/recommendation/☆133Updated 2 years ago
- Machine Learning System☆14Updated 4 years ago
- A library for syntactically rewriting Python programs, pronounced (sinner).☆70Updated 3 years ago
- ☆23Updated 3 months ago
- nnScaler: Compiling DNN models for Parallel Training☆103Updated last month
- Dynamic Tensor Rematerialization prototype (modified PyTorch) and simulator. Paper: https://arxiv.org/abs/2006.09616☆133Updated last year
- PipeSwitch: Fast Pipelined Context Switching for Deep Learning Applications☆127Updated 2 years ago
- ☆16Updated 2 years ago
- ☆79Updated 3 months ago
- Practical low-rank gradient compression for distributed optimization: https://arxiv.org/abs/1905.13727☆146Updated 4 months ago
- ☆101Updated 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 …☆64Updated 3 years ago
- 🔮 Execution time predictions for deep neural network training iterations across different GPUs.☆60Updated 2 years ago
- A resilient distributed training framework☆90Updated 11 months ago
- Python package for rematerialization-aware gradient checkpointing☆24Updated last year
- ☆141Updated last month
- ☆73Updated 4 months ago
- ☆55Updated 2 months ago