microsoft / SuperScalerLinks
An experimental parallel training platform
☆54Updated last year
Alternatives and similar repositories for SuperScaler
Users that are interested in SuperScaler are comparing it to the libraries listed below
Sorting:
- ☆83Updated 2 years ago
- Compiler for Dynamic Neural Networks☆46Updated last year
- AlpaServe: Statistical Multiplexing with Model Parallelism for Deep Learning Serving (OSDI 23)☆87Updated 2 years ago
- ☆75Updated 4 years ago
- Microsoft Collective Communication Library☆66Updated 10 months ago
- nnScaler: Compiling DNN models for Parallel Training☆118Updated 2 weeks ago
- Artifact of OSDI '24 paper, ”Llumnix: Dynamic Scheduling for Large Language Model Serving“☆62Updated last year
- Synthesizer for optimal collective communication algorithms☆118Updated last year
- REEF is a GPU-accelerated DNN inference serving system that enables instant kernel preemption and biased concurrent execution in GPU sche…☆100Updated 2 years ago
- A resilient distributed training framework☆95Updated last year
- LLM serving cluster simulator☆115Updated last year
- Bamboo is a system for running large pipeline-parallel DNNs affordably, reliably, and efficiently using spot instances.☆51Updated 2 years ago
- A ChatGPT(GPT-3.5) & GPT-4 Workload Trace to Optimize LLM Serving Systems☆207Updated 2 months ago
- Chimera: bidirectional pipeline parallelism for efficiently training large-scale models.☆66Updated 6 months ago
- Paella: Low-latency Model Serving with Virtualized GPU Scheduling☆62Updated last year
- DISB is a new DNN inference serving benchmark with diverse workloads and models, as well as real-world traces.☆54Updated last year
- Dynamic resources changes for multi-dimensional parallelism training☆28Updated last month
- An Efficient Pipelined Data Parallel Approach for Training Large Model☆76Updated 4 years ago
- ☆56Updated 4 years ago
- Artifacts for our ASPLOS'23 paper ElasticFlow☆53Updated last year
- (NeurIPS 2022) Automatically finding good model-parallel strategies, especially for complex models and clusters.☆41Updated 2 years ago
- PipeSwitch: Fast Pipelined Context Switching for Deep Learning Applications☆127Updated 3 years ago
- Microsoft Collective Communication Library☆362Updated 2 years ago
- Thunder Research Group's Collective Communication Library☆42Updated 3 months ago
- PerFlow-AI is a programmable performance analysis, modeling, prediction tool for AI system.☆24Updated this week
- A baseline repository of Auto-Parallelism in Training Neural Networks☆146Updated 3 years ago
- SpotServe: Serving Generative Large Language Models on Preemptible Instances☆129Updated last year
- FTPipe and related pipeline model parallelism research.☆43Updated 2 years ago
- ☆38Updated 3 months ago
- ☆17Updated 2 years ago