AlibabaPAI / DAPPLE
An Efficient Pipelined Data Parallel Approach for Training Large Model
☆70Updated 3 years ago
Related projects ⓘ
Alternatives and complementary repositories for DAPPLE
- ☆65Updated 3 years ago
- PipeSwitch: Fast Pipelined Context Switching for Deep Learning Applications☆124Updated 2 years ago
- ☆73Updated last year
- nnScaler: Compiling DNN models for Parallel Training☆74Updated 3 weeks ago
- PET: Optimizing Tensor Programs with Partially Equivalent Transformations and Automated Corrections☆114Updated 2 years ago
- An experimental parallel training platform☆52Updated 7 months ago
- FTPipe and related pipeline model parallelism research.☆41Updated last year
- Fine-grained GPU sharing primitives☆140Updated 4 years ago
- Synthesizer for optimal collective communication algorithms☆99Updated 7 months ago
- A baseline repository of Auto-Parallelism in Training Neural Networks☆142Updated 2 years ago
- Boost hardware utilization for ML training workloads via Inter-model Horizontal Fusion☆32Updated 6 months ago
- AlpaServe: Statistical Multiplexing with Model Parallelism for Deep Learning Serving (OSDI 23)☆78Updated last year
- ☆26Updated last year
- ☆37Updated 3 years ago
- ☆74Updated last month
- ☆82Updated 2 years ago
- Paella: Low-latency Model Serving with Virtualized GPU Scheduling☆57Updated 6 months ago
- [MLSys 2021] IOS: Inter-Operator Scheduler for CNN Acceleration☆195Updated 2 years ago
- Compiler for Dynamic Neural Networks☆43Updated last year
- this is the release repository of superneurons☆52Updated 3 years ago
- DISB is a new DNN inference serving benchmark with diverse workloads and models, as well as real-world traces.☆54Updated 3 months ago
- Chimera: Efficiently Training Large-Scale Neural Networks with Bidirectional Pipelines.☆46Updated 11 months ago
- A ChatGPT(GPT-3.5) & GPT-4 Workload Trace to Optimize LLM Serving Systems☆132Updated last month
- A GPU-accelerated DNN inference serving system that supports instant kernel preemption and biased concurrent execution in GPU scheduling.☆39Updated 2 years ago
- Model-less Inference Serving☆82Updated last year
- DietCode Code Release☆62Updated 2 years ago
- Repository for SysML19 Artifacts Evaluation☆53Updated 5 years ago
- A high-performance distributed deep learning system targeting large-scale and automated distributed training. If you have any interests, …☆104Updated 11 months ago
- ☆44Updated last year
- 🔮 Execution time predictions for deep neural network training iterations across different GPUs.☆56Updated last year