microsoft / SuperScaler
An experimental parallel training platform
☆46Updated 5 months ago
Related projects: ⓘ
- ☆33Updated 2 weeks ago
- A ChatGPT(GPT-3.5) & GPT-4 Workload Trace to Optimize LLM Serving Systems☆110Updated last month
- ☆62Updated 3 years ago
- AlpaServe: Statistical Multiplexing with Model Parallelism for Deep Learning Serving (OSDI 23)☆76Updated last year
- Synthesizer for optimal collective communication algorithms☆94Updated 5 months ago
- Chimera: Efficiently Training Large-Scale Neural Networks with Bidirectional Pipelines.☆41Updated 9 months ago
- A resilient distributed training framework☆78Updated 5 months ago
- Compiler for Dynamic Neural Networks☆42Updated 10 months ago
- ☆72Updated last year
- Artifact of OSDI '24 paper, ”Llumnix: Dynamic Scheduling for Large Language Model Serving“☆54Updated 3 months ago
- ☆65Updated 2 years ago
- SpotServe: Serving Generative Large Language Models on Preemptible Instances☆92Updated 6 months ago
- Microsoft Collective Communication Library☆42Updated 4 months ago
- Automated Parallelization System and Infrastructure for Multiple Ecosystems☆70Updated last month
- Bamboo is a system for running large pipeline-parallel DNNs affordably, reliably, and efficiently using spot instances.☆46Updated last year
- LLM serving cluster simulator☆55Updated 4 months ago
- FTPipe and related pipeline model parallelism research.☆41Updated last year
- (NeurIPS 2022) Automatically finding good model-parallel strategies, especially for complex models and clusters.☆33Updated last year
- An Efficient Pipelined Data Parallel Approach for Training Large Model☆69Updated 3 years ago
- ☆12Updated 3 months ago
- ☆12Updated 2 months ago
- ☆48Updated 3 years ago
- Efficient and easy multi-instance LLM serving☆119Updated this week
- ☆15Updated this week
- REEF is a GPU-accelerated DNN inference serving system that enables instant kernel preemption and biased concurrent execution in GPU sche…☆84Updated last year
- An interference-aware scheduler for fine-grained GPU sharing☆92Updated 4 months ago
- Official repository for the paper DynaPipe: Optimizing Multi-task Training through Dynamic Pipelines☆13Updated 9 months ago
- Artifacts for our ASPLOS'23 paper ElasticFlow☆51Updated 4 months ago
- PipeSwitch: Fast Pipelined Context Switching for Deep Learning Applications☆124Updated 2 years ago
- Paella: Low-latency Model Serving with Virtualized GPU Scheduling☆55Updated 4 months ago