hku-systems / vpipeLinks
☆25Updated 2 years ago
Alternatives and similar repositories for vpipe
Users that are interested in vpipe are comparing it to the libraries listed below
Sorting:
- An Efficient Pipelined Data Parallel Approach for Training Large Model☆77Updated 4 years ago
- AlpaServe: Statistical Multiplexing with Model Parallelism for Deep Learning Serving (OSDI 23)☆82Updated 2 years ago
- ☆75Updated 4 years ago
- ☆79Updated 2 years ago
- Compiler for Dynamic Neural Networks☆46Updated last year
- Boost hardware utilization for ML training workloads via Inter-model Horizontal Fusion☆32Updated last year
- PipeSwitch: Fast Pipelined Context Switching for Deep Learning Applications☆126Updated 3 years ago
- Synthesizer for optimal collective communication algorithms☆110Updated last year
- ☆80Updated 2 months ago
- A ChatGPT(GPT-3.5) & GPT-4 Workload Trace to Optimize LLM Serving Systems☆186Updated 9 months ago
- Artifacts for our ASPLOS'23 paper ElasticFlow☆52Updated last year
- Chimera: bidirectional pipeline parallelism for efficiently training large-scale models.☆67Updated 3 months ago
- A baseline repository of Auto-Parallelism in Training Neural Networks☆144Updated 3 years ago
- An experimental parallel training platform☆54Updated last year
- LLM serving cluster simulator☆107Updated last year
- Dynamic resources changes for multi-dimensional parallelism training☆26Updated 8 months ago
- REEF is a GPU-accelerated DNN inference serving system that enables instant kernel preemption and biased concurrent execution in GPU sche…☆95Updated 2 years ago
- ☆37Updated 3 weeks ago
- Artifact of OSDI '24 paper, ”Llumnix: Dynamic Scheduling for Large Language Model Serving“☆61Updated last year
- nnScaler: Compiling DNN models for Parallel Training☆113Updated last week
- Bamboo is a system for running large pipeline-parallel DNNs affordably, reliably, and efficiently using spot instances.☆50Updated 2 years ago
- ☆49Updated 6 months ago
- Microsoft Collective Communication Library☆351Updated last year
- (NeurIPS 2022) Automatically finding good model-parallel strategies, especially for complex models and clusters.☆40Updated 2 years ago
- ☆38Updated 4 years ago
- SpotServe: Serving Generative Large Language Models on Preemptible Instances☆123Updated last year
- A Cluster-Wide Model Manager to Accelerate DNN Training via Automated Training Warmup☆35Updated 2 years ago
- FTPipe and related pipeline model parallelism research.☆41Updated 2 years ago
- ☆143Updated last year
- Helios Traces from SenseTime☆56Updated 2 years ago