Shenggan / awesome-distributed-mlLinks
A curated list of awesome projects and papers for distributed training or inference
☆262Updated 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
- paper and its code for AI System☆341Updated 3 weeks ago
- A low-latency & high-throughput serving engine for LLMs☆462Updated 2 months ago
- Dynamic Memory Management for Serving LLMs without PagedAttention☆453Updated 7 months ago
- ☆614Updated 7 months ago
- Latency and Memory Analysis of Transformer Models for Training and Inference☆475Updated 8 months ago
- A ChatGPT(GPT-3.5) & GPT-4 Workload Trace to Optimize LLM Serving Systems☆227Updated 5 months ago
- nnScaler: Compiling DNN models for Parallel Training☆122Updated 3 months ago
- Curated collection of papers in machine learning systems☆489Updated 3 weeks ago
- This repository is established to store personal notes and annotated papers during daily research.☆171Updated 2 weeks ago
- ☆79Updated 3 years ago
- A large-scale simulation framework for LLM inference☆509Updated 5 months ago
- AlpaServe: Statistical Multiplexing with Model Parallelism for Deep Learning Serving (OSDI 23)☆92Updated 2 years ago
- Zero Bubble Pipeline Parallelism☆444Updated 7 months ago
- LLM serving cluster simulator☆129Updated last year
- Flash-LLM: Enabling Cost-Effective and Highly-Efficient Large Generative Model Inference with Unstructured Sparsity☆231Updated 2 years ago
- Allow torch tensor memory to be released and resumed later☆196Updated last month
- Chimera: bidirectional pipeline parallelism for efficiently training large-scale models.☆69Updated 9 months ago
- PyTorch library for cost-effective, fast and easy serving of MoE models.☆269Updated 2 months ago
- Systems for GenAI☆151Updated 8 months ago
- High performance Transformer implementation in C++.☆147Updated 11 months ago
- ☆82Updated 7 months ago
- ☆130Updated last year
- A resilient distributed training framework☆96Updated last year
- Disaggregated serving system for Large Language Models (LLMs).☆758Updated 8 months ago
- LLM training technologies developed by kwai☆68Updated last month
- Perplexity GPU Kernels☆547Updated last month
- Analyze the inference of Large Language Models (LLMs). Analyze aspects like computation, storage, transmission, and hardware roofline mod…☆600Updated last year
- A lightweight design for computation-communication overlap.☆206Updated last week