lsds / KungFu
Fast and Adaptive Distributed Machine Learning for TensorFlow, PyTorch and MindSpore.
☆293Updated 8 months ago
Related projects ⓘ
Alternatives and complementary repositories for KungFu
- ☆378Updated 2 years ago
- CS294; AI For Systems and Systems For AI☆221Updated 5 years ago
- PipeSwitch: Fast Pipelined Context Switching for Deep Learning Applications☆124Updated 2 years ago
- Easy Parallel Library (EPL) is a general and efficient deep learning framework for distributed model training.☆263Updated last year
- An Efficient Pipelined Data Parallel Approach for Training Large Model☆70Updated 3 years ago
- GPU-scheduler-for-deep-learning☆199Updated 4 years ago
- ☆82Updated 2 years ago
- Model-less Inference Serving☆82Updated last year
- A lightweight parameter server interface☆74Updated last year
- Kubernetes Scheduler for Deep Learning☆255Updated 2 years ago
- Fine-grained GPU sharing primitives☆140Updated 4 years ago
- MLModelCI is a complete MLOps platform for managing, converting, profiling, and deploying MLaaS (Machine Learning-as-a-Service), bridging…☆191Updated last year
- Simple Distributed Deep Learning on TensorFlow☆134Updated 2 years ago
- DeepLearning Framework Performance Profiling Toolkit☆277Updated 2 years ago
- GRACE - GRAdient ComprEssion for distributed deep learning☆138Updated 3 months ago
- Resource-adaptive cluster scheduler for deep learning training.☆426Updated last year
- A high-performance distributed deep learning system targeting large-scale and automated distributed training.☆265Updated 2 weeks ago
- ☆180Updated 5 years ago
- Code for "Heterogenity-Aware Cluster Scheduling Policies for Deep Learning Workloads", which appeared at OSDI 2020☆125Updated 3 months ago
- A tensor-aware point-to-point communication primitive for machine learning☆249Updated last year
- ☆209Updated last year
- High performance distributed framework for training deep learning recommendation models based on PyTorch.☆397Updated this week
- A flexible and efficient deep neural network (DNN) compiler that generates high-performance executable from a DNN model description.☆962Updated 2 months ago
- Implementation of Parameter Server using PyTorch communication lib☆43Updated 5 years ago
- ☆51Updated last year
- ☆568Updated 6 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
- AlpaServe: Statistical Multiplexing with Model Parallelism for Deep Learning Serving (OSDI 23)☆78Updated last year
- Repository for SysML19 Artifacts Evaluation☆53Updated 5 years ago
- The Tensor Algebra SuperOptimizer for Deep Learning☆692Updated last year