kanonjz / paper
Machine Learning System
☆14Updated 4 years ago
Alternatives and similar repositories for paper:
Users that are interested in paper are comparing it to the libraries listed below
- (NeurIPS 2022) Automatically finding good model-parallel strategies, especially for complex models and clusters.☆38Updated 2 years ago
- ddl-benchmarks: Benchmarks for Distributed Deep Learning☆37Updated 4 years ago
- ☆16Updated 2 years ago
- DISB is a new DNN inference serving benchmark with diverse workloads and models, as well as real-world traces.☆52Updated 8 months ago
- PipeSwitch: Fast Pipelined Context Switching for Deep Learning Applications☆126Updated 2 years ago
- ☆21Updated 2 years ago
- ☆72Updated 4 years ago
- SOTA Learning-augmented Systems☆36Updated 2 years ago
- FTPipe and related pipeline model parallelism research.☆41Updated last year
- ☆79Updated 2 years ago
- ☆43Updated last year
- An Efficient Pipelined Data Parallel Approach for Training Large Model☆76Updated 4 years ago
- ☆53Updated 4 years ago
- ☆40Updated 4 years ago
- ☆22Updated 5 years ago
- ☆14Updated 3 years ago
- ☆23Updated 5 months ago
- A GPU-accelerated DNN inference serving system that supports instant kernel preemption and biased concurrent execution in GPU scheduling.☆42Updated 2 years ago
- ☆82Updated 2 years ago
- High performance NCCL plugin for Bagua.☆15Updated 3 years ago
- 🔮 Execution time predictions for deep neural network training iterations across different GPUs.☆62Updated 2 years ago
- BytePS examples (Vision, NLP, GAN, etc)☆19Updated 2 years ago
- Compiler for Dynamic Neural Networks☆46Updated last year
- this is the release repository of superneurons☆52Updated 4 years ago
- Supplemental materials for The ASPLOS 2025 / EuroSys 2025 Contest on Intra-Operator Parallelism for Distributed Deep Learning☆23Updated 4 months ago
- ☆32Updated last year
- ☆24Updated last year
- ☆35Updated 4 years ago
- PET: Optimizing Tensor Programs with Partially Equivalent Transformations and Automated Corrections☆121Updated 2 years ago
- Boost hardware utilization for ML training workloads via Inter-model Horizontal Fusion☆32Updated 11 months ago