microsoft / nnscalerLinks
nnScaler: Compiling DNN models for Parallel Training
☆121Updated 2 months ago
Alternatives and similar repositories for nnscaler
Users that are interested in nnscaler are comparing it to the libraries listed below
Sorting:
- A lightweight design for computation-communication overlap.☆196Updated 2 months ago
- ☆126Updated last year
- Chimera: bidirectional pipeline parallelism for efficiently training large-scale models.☆69Updated 9 months ago
- Allow torch tensor memory to be released and resumed later☆187Updated 2 weeks ago
- ☆329Updated last month
- ☆77Updated 4 years ago
- ☆79Updated 2 months ago
- Flash-LLM: Enabling Cost-Effective and Highly-Efficient Large Generative Model Inference with Unstructured Sparsity☆230Updated 2 years ago
- High performance Transformer implementation in C++.☆146Updated 11 months ago
- LLM training technologies developed by kwai☆67Updated 3 weeks ago
- ☆88Updated 3 years ago
- ☆163Updated last year
- A baseline repository of Auto-Parallelism in Training Neural Networks☆147Updated 3 years ago
- NVSHMEM‑Tutorial: Build a DeepEP‑like GPU Buffer☆147Updated 3 months ago
- Automated Parallelization System and Infrastructure for Multiple Ecosystems☆81Updated last year
- ☆151Updated 11 months ago
- Zero Bubble Pipeline Parallelism☆442Updated 7 months ago
- ☆103Updated last year
- An experimental parallel training platform☆56Updated last year
- Since the emergence of chatGPT in 2022, the acceleration of Large Language Model has become increasingly important. Here is a list of pap…☆282Updated 9 months ago
- Sequence-level 1F1B schedule for LLMs.☆38Updated 3 months ago
- PyTorch library for cost-effective, fast and easy serving of MoE models.☆265Updated 2 months ago
- ☆81Updated 7 months ago
- Dynamic Memory Management for Serving LLMs without PagedAttention☆448Updated 6 months ago
- [ICML 2024] Serving LLMs on heterogeneous decentralized clusters.☆33Updated last year
- ☆83Updated 3 years ago
- PyTorch bindings for CUTLASS grouped GEMM.☆174Updated this week
- A ChatGPT(GPT-3.5) & GPT-4 Workload Trace to Optimize LLM Serving Systems☆226Updated 4 months ago
- Stateful LLM Serving☆90Updated 9 months ago
- [OSDI'24] Serving LLM-based Applications Efficiently with Semantic Variable☆203Updated last year