mlbench / mlbench-benchmarksLinks
Distributed ML Training Benchmarks
☆27Updated 2 years ago
Alternatives and similar repositories for mlbench-benchmarks
Users that are interested in mlbench-benchmarks are comparing it to the libraries listed below
Sorting:
- ddl-benchmarks: Benchmarks for Distributed Deep Learning☆37Updated 5 years ago
- PipeTransformer: Automated Elastic Pipelining for Distributed Training of Large-scale Models. ICML 2021☆56Updated 3 years ago
- BytePS examples (Vision, NLP, GAN, etc)☆19Updated 2 years ago
- Model-less Inference Serving☆88Updated last year
- Fine-grained GPU sharing primitives☆142Updated 5 years ago
- An Efficient Pipelined Data Parallel Approach for Training Large Model☆77Updated 4 years ago
- High performance NCCL plugin for Bagua.☆15Updated 3 years ago
- DISB is a new DNN inference serving benchmark with diverse workloads and models, as well as real-world traces.☆52Updated 10 months ago
- PipeSwitch: Fast Pipelined Context Switching for Deep Learning Applications☆126Updated 3 years ago
- ☆82Updated 3 weeks ago
- Implementation of Parameter Server using PyTorch communication lib☆42Updated 6 years ago
- ☆22Updated 6 years ago
- A Deep Learning Cluster Scheduler☆39Updated 4 years ago
- A Cluster-Wide Model Manager to Accelerate DNN Training via Automated Training Warmup☆35Updated 2 years ago
- Boost hardware utilization for ML training workloads via Inter-model Horizontal Fusion☆32Updated last year
- Dynamic Tensor Rematerialization prototype (modified PyTorch) and simulator. Paper: https://arxiv.org/abs/2006.09616☆132Updated 2 years ago
- ☆80Updated 2 months ago
- ☆75Updated 4 years ago
- Chimera: bidirectional pipeline parallelism for efficiently training large-scale models.☆67Updated 3 months ago
- Benchmark for matrix multiplications between dense and block sparse (BSR) matrix in TVM, blocksparse (Gray et al.) and cuSparse.☆24Updated 4 years ago
- FTPipe and related pipeline model parallelism research.☆41Updated 2 years ago
- ☆38Updated 4 years ago
- GRACE - GRAdient ComprEssion for distributed deep learning☆140Updated 11 months ago
- ☆14Updated 3 years ago
- [IJCAI2023] An automated parallel training system that combines the advantages from both data and model parallelism. If you have any inte…☆51Updated 2 years ago
- Machine Learning System☆14Updated 5 years ago
- [ICDCS 2023] DeAR: Accelerating Distributed Deep Learning with Fine-Grained All-Reduce Pipelining☆12Updated last year
- 🔮 Execution time predictions for deep neural network training iterations across different GPUs.☆63Updated 2 years ago
- ☆43Updated last year
- PET: Optimizing Tensor Programs with Partially Equivalent Transformations and Automated Corrections☆121Updated 3 years ago