Shenggan / awesome-distributed-ml
A curated list of awesome projects and papers for distributed training or inference
☆214Updated 4 months ago
Alternatives and similar repositories for awesome-distributed-ml:
Users that are interested in awesome-distributed-ml are comparing it to the libraries listed below
- A baseline repository of Auto-Parallelism in Training Neural Networks☆142Updated 2 years ago
- Since the emergence of chatGPT in 2022, the acceleration of Large Language Model has become increasingly important. Here is a list of pap…☆220Updated last month
- paper and its code for AI System☆272Updated 3 weeks ago
- A low-latency & high-throughput serving engine for LLMs☆310Updated 2 weeks ago
- Latency and Memory Analysis of Transformer Models for Training and Inference☆388Updated 3 months ago
- Dynamic Memory Management for Serving LLMs without PagedAttention☆290Updated last week
- A ChatGPT(GPT-3.5) & GPT-4 Workload Trace to Optimize LLM Serving Systems☆145Updated 4 months ago
- nnScaler: Compiling DNN models for Parallel Training☆91Updated this week
- A fast communication-overlapping library for tensor parallelism on GPUs.☆295Updated 3 months ago
- AlpaServe: Statistical Multiplexing with Model Parallelism for Deep Learning Serving (OSDI 23)☆81Updated last year
- Flash-LLM: Enabling Cost-Effective and Highly-Efficient Large Generative Model Inference with Unstructured Sparsity☆199Updated last year
- Zero Bubble Pipeline Parallelism☆336Updated last week
- ☆537Updated 5 months ago
- Chimera: Efficiently Training Large-Scale Neural Networks with Bidirectional Pipelines.☆56Updated last year
- ☆181Updated 7 months ago
- MSCCL++: A GPU-driven communication stack for scalable AI applications☆295Updated this week
- Curated collection of papers in machine learning systems☆234Updated this week
- A resilient distributed training framework☆88Updated 10 months ago
- A Easy-to-understand TensorOp Matmul Tutorial☆316Updated 4 months ago
- Analyze the inference of Large Language Models (LLMs). Analyze aspects like computation, storage, transmission, and hardware roofline mod…☆391Updated 5 months ago
- A large-scale simulation framework for LLM inference☆323Updated 3 months ago
- ☆314Updated 10 months ago
- [MLSys'24] Atom: Low-bit Quantization for Efficient and Accurate LLM Serving☆294Updated 7 months ago
- Automated Parallelization System and Infrastructure for Multiple Ecosystems☆78Updated 3 months ago
- ☆64Updated 2 years ago
- ☆79Updated 2 months ago
- Disaggregated serving system for Large Language Models (LLMs).☆466Updated 6 months ago
- [ATC '24] Metis: Fast automatic distributed training on heterogeneous GPUs (https://www.usenix.org/conference/atc24/presentation/um)☆25Updated 3 months ago
- Applied AI experiments and examples for PyTorch☆224Updated this week
- Efficient and easy multi-instance LLM serving☆295Updated this week