microsoft / msccl-tools
Synthesizer for optimal collective communication algorithms
☆106Updated 11 months ago
Alternatives and similar repositories for msccl-tools:
Users that are interested in msccl-tools are comparing it to the libraries listed below
- NCCL Profiling Kit☆127Updated 8 months ago
- TACCL: Guiding Collective Algorithm Synthesis using Communication Sketches☆71Updated last year
- Microsoft Collective Communication Library☆343Updated last year
- ☆75Updated 2 years ago
- Microsoft Collective Communication Library☆60Updated 3 months ago
- RDMA and SHARP plugins for nccl library☆183Updated last month
- AlpaServe: Statistical Multiplexing with Model Parallelism for Deep Learning Serving (OSDI 23)☆82Updated last year
- PArametrized Recommendation and Ai Model benchmark is a repository for development of numerous uBenchmarks as well as end to end nets for…☆132Updated this week
- NCCL Fast Socket is a transport layer plugin to improve NCCL collective communication performance on Google Cloud.☆116Updated last year
- Fine-grained GPU sharing primitives☆141Updated 5 years ago
- MSCCL++: A GPU-driven communication stack for scalable AI applications☆311Updated this week
- An Efficient Pipelined Data Parallel Approach for Training Large Model☆74Updated 4 years ago
- LLM serving cluster simulator☆93Updated 10 months ago
- Repository for MLCommons Chakra schema and tools☆92Updated this week
- Paella: Low-latency Model Serving with Virtualized GPU Scheduling☆58Updated 10 months ago
- An experimental parallel training platform☆54Updated 11 months ago
- Repository for MLCommons Chakra schema and tools☆39Updated last year
- REEF is a GPU-accelerated DNN inference serving system that enables instant kernel preemption and biased concurrent execution in GPU sche…☆92Updated 2 years ago
- An interference-aware scheduler for fine-grained GPU sharing☆127Updated last month
- Code for "Heterogenity-Aware Cluster Scheduling Policies for Deep Learning Workloads", which appeared at OSDI 2020☆126Updated 7 months ago
- A baseline repository of Auto-Parallelism in Training Neural Networks☆143Updated 2 years ago
- Thunder Research Group's Collective Communication Library☆33Updated 10 months ago
- ☆131Updated last year
- ☆46Updated 2 months ago
- A hierarchical collective communications library with portable optimizations☆32Updated 3 months ago
- nnScaler: Compiling DNN models for Parallel Training☆101Updated last month
- ☆79Updated 3 months ago
- ASTRA-sim2.0: Modeling Hierarchical Networks and Disaggregated Systems for Large-model Training at Scale☆327Updated 3 weeks ago
- 🔮 Execution time predictions for deep neural network training iterations across different GPUs.☆60Updated 2 years ago