Shenggan / awesome-distributed-mlLinks
A curated list of awesome projects and papers for distributed training or inference
☆258Updated last year
Alternatives and similar repositories for awesome-distributed-ml
Users that are interested in awesome-distributed-ml are comparing it to the libraries listed below
Sorting:
- A baseline repository of Auto-Parallelism in Training Neural Networks☆147Updated 3 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…☆282Updated 9 months ago
- Dynamic Memory Management for Serving LLMs without PagedAttention☆446Updated 6 months ago
- paper and its code for AI System☆340Updated 3 months ago
- A low-latency & high-throughput serving engine for LLMs☆454Updated last month
- This repository is established to store personal notes and annotated papers during daily research.☆166Updated last week
- ☆611Updated 7 months ago
- ☆79Updated 3 years ago
- A ChatGPT(GPT-3.5) & GPT-4 Workload Trace to Optimize LLM Serving Systems☆222Updated 4 months ago
- nnScaler: Compiling DNN models for Parallel Training☆120Updated 2 months ago
- A large-scale simulation framework for LLM inference☆491Updated 4 months ago
- Latency and Memory Analysis of Transformer Models for Training and Inference☆466Updated 7 months ago
- Zero Bubble Pipeline Parallelism☆437Updated 7 months ago
- AlpaServe: Statistical Multiplexing with Model Parallelism for Deep Learning Serving (OSDI 23)☆92Updated 2 years ago
- Systems for GenAI☆148Updated 7 months ago
- Flash-LLM: Enabling Cost-Effective and Highly-Efficient Large Generative Model Inference with Unstructured Sparsity☆227Updated 2 years ago
- High performance Transformer implementation in C++.☆143Updated 10 months ago
- Curated collection of papers in machine learning systems☆474Updated 3 weeks ago
- ☆124Updated last year
- PyTorch library for cost-effective, fast and easy serving of MoE models.☆263Updated last month
- Allow torch tensor memory to be released and resumed later☆184Updated last week
- Disaggregated serving system for Large Language Models (LLMs).☆747Updated 8 months ago
- Analyze the inference of Large Language Models (LLMs). Analyze aspects like computation, storage, transmission, and hardware roofline mod…☆594Updated last year
- LLM training technologies developed by kwai☆66Updated 2 weeks ago
- ☆81Updated 6 months ago
- Summary of some awesome work for optimizing LLM inference☆146Updated 2 weeks ago
- Perplexity GPU Kernels☆536Updated last month
- Efficient and easy multi-instance LLM serving☆517Updated 3 months ago
- Chimera: bidirectional pipeline parallelism for efficiently training large-scale models.☆68Updated 8 months ago
- ☆79Updated last month