lsds / Crossbow
Crossbow: A Multi-GPU Deep Learning System for Training with Small Batch Sizes
☆55Updated 2 years ago
Related projects ⓘ
Alternatives and complementary repositories for Crossbow
- Repository for SysML19 Artifacts Evaluation☆53Updated 5 years ago
- PipeSwitch: Fast Pipelined Context Switching for Deep Learning Applications☆124Updated 2 years ago
- Analyze network performance in distributed training☆16Updated 4 years ago
- Tensorflow is a computational library using data flow graphs for scalable machine learning, and Tensorflow-RDMA is the implementation ov…☆59Updated last year
- ☆21Updated 6 years ago
- ☆35Updated 3 years ago
- gossip: Efficient Communication Primitives for Multi-GPU Systems☆58Updated 2 years ago
- Dorylus: Affordable, Scalable, and Accurate GNN Training☆77Updated 3 years ago
- An Efficient Pipelined Data Parallel Approach for Training Large Model☆70Updated 3 years ago
- A GPU-accelerated DNN inference serving system that supports instant kernel preemption and biased concurrent execution in GPU scheduling.☆39Updated 2 years ago
- BytePS examples (Vision, NLP, GAN, etc)☆19Updated 2 years ago
- ddl-benchmarks: Benchmarks for Distributed Deep Learning☆37Updated 4 years ago
- ☆73Updated last year
- ☆12Updated 5 years ago
- ☆82Updated 2 years ago
- My paper/code reading notes in Chinese☆45Updated 6 months ago
- ☆14Updated 3 years ago
- Fine-grained GPU sharing primitives☆140Updated 4 years ago
- Implementation of vDNN++; an improvement over vDNN☆16Updated 5 years ago
- ☆20Updated 5 years ago
- this is the release repository of superneurons☆52Updated 3 years ago
- SHADE: Enable Fundamental Cacheability for Distributed Deep Learning Training☆29Updated last year
- Model-less Inference Serving☆82Updated last year
- A Generic Resource-Aware Hyperparameter Tuning Execution Engine☆15Updated 2 years ago
- A Framework for Graph Sampling and Random Walk on GPUs.☆38Updated 2 years ago
- Virtual Memory Abstraction for Serverless Architectures☆45Updated 2 years ago
- A Distributed Multi-GPU System for Fast Graph Processing☆63Updated 6 years ago
- Code for "Shockwave: Fair and Efficient Cluster Scheduling for Dynamic Adaptation in Machine Learning" [NSDI '23]☆38Updated 2 years ago
- ☆51Updated 3 years ago
- A Memory-Disaggregated Managed Runtime.☆65Updated 3 years ago