msr-fiddle / pipedreamLinks
☆392Updated 2 years ago
Alternatives and similar repositories for pipedream
Users that are interested in pipedream are comparing it to the libraries listed below
Sorting:
- An Efficient Pipelined Data Parallel Approach for Training Large Model☆77Updated 4 years ago
- Resource-adaptive cluster scheduler for deep learning training.☆445Updated 2 years ago
- Microsoft Collective Communication Library☆351Updated last year
- Fine-grained GPU sharing primitives☆142Updated 5 years ago
- PipeSwitch: Fast Pipelined Context Switching for Deep Learning Applications☆126Updated 3 years ago
- A GPipe implementation in PyTorch☆844Updated 11 months ago
- NCCL Fast Socket is a transport layer plugin to improve NCCL collective communication performance on Google Cloud.☆117Updated last year
- ☆145Updated 5 months ago
- A tensor-aware point-to-point communication primitive for machine learning☆259Updated 2 years ago
- Lightweight and Parallel Deep Learning Framework☆264Updated 2 years ago
- Simple Distributed Deep Learning on TensorFlow☆133Updated 3 weeks ago
- Synthesizer for optimal collective communication algorithms☆108Updated last year
- A baseline repository of Auto-Parallelism in Training Neural Networks☆144Updated 3 years ago
- Fast and Adaptive Distributed Machine Learning for TensorFlow, PyTorch and MindSpore.☆297Updated last year
- AlpaServe: Statistical Multiplexing with Model Parallelism for Deep Learning Serving (OSDI 23)☆82Updated last year
- ☆80Updated last month
- A high-performance distributed deep learning system targeting large-scale and automated distributed training.☆313Updated 2 months ago
- [MLSys 2021] IOS: Inter-Operator Scheduler for CNN Acceleration☆200Updated 3 years ago
- The Tensor Algebra SuperOptimizer for Deep Learning☆719Updated 2 years ago
- ☆82Updated 3 weeks ago
- Model-less Inference Serving☆88Updated last year
- A flexible and efficient deep neural network (DNN) compiler that generates high-performance executable from a DNN model description.☆989Updated 9 months ago
- Code for "Heterogenity-Aware Cluster Scheduling Policies for Deep Learning Workloads", which appeared at OSDI 2020☆128Updated 11 months ago
- GPU-scheduler-for-deep-learning☆208Updated 4 years ago
- Chimera: bidirectional pipeline parallelism for efficiently training large-scale models.☆67Updated 3 months ago
- ☆47Updated 2 years ago
- Easy Parallel Library (EPL) is a general and efficient deep learning framework for distributed model training.☆267Updated 2 years ago
- FTPipe and related pipeline model parallelism research.☆41Updated 2 years ago
- this is the release repository of superneurons☆52Updated 4 years ago
- Boost hardware utilization for ML training workloads via Inter-model Horizontal Fusion☆32Updated last year