Shenggan / awesome-distributed-mlLinks
A curated list of awesome projects and papers for distributed training or inference
☆239Updated 8 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
Sorting:
- Since the emergence of chatGPT in 2022, the acceleration of Large Language Model has become increasingly important. Here is a list of pap…☆255Updated 3 months ago
- A baseline repository of Auto-Parallelism in Training Neural Networks☆144Updated 3 years ago
- A low-latency & high-throughput serving engine for LLMs☆380Updated 3 weeks ago
- Dynamic Memory Management for Serving LLMs without PagedAttention☆396Updated 3 weeks ago
- Flash-LLM: Enabling Cost-Effective and Highly-Efficient Large Generative Model Inference with Unstructured Sparsity☆214Updated last year
- Zero Bubble Pipeline Parallelism☆398Updated last month
- Perplexity GPU Kernels☆375Updated 2 weeks ago
- Cataloging released Triton kernels.☆238Updated 5 months ago
- paper and its code for AI System☆311Updated 2 months ago
- Latency and Memory Analysis of Transformer Models for Training and Inference☆431Updated 2 months ago
- A large-scale simulation framework for LLM inference☆387Updated 7 months ago
- ☆212Updated 11 months ago
- A ChatGPT(GPT-3.5) & GPT-4 Workload Trace to Optimize LLM Serving Systems☆177Updated 8 months ago
- nnScaler: Compiling DNN models for Parallel Training☆113Updated this week
- Fast low-bit matmul kernels in Triton☆322Updated last week
- PyTorch library for cost-effective, fast and easy serving of MoE models.☆198Updated last week
- Curated collection of papers in machine learning systems☆364Updated last week
- High performance Transformer implementation in C++.☆125Updated 5 months ago
- A lightweight design for computation-communication overlap.☆143Updated this week
- Analyze the inference of Large Language Models (LLMs). Analyze aspects like computation, storage, transmission, and hardware roofline mod…☆487Updated 9 months ago
- ☆328Updated last year
- [MLSys'24] Atom: Low-bit Quantization for Efficient and Accurate LLM Serving☆310Updated 11 months ago
- A Easy-to-understand TensorOp Matmul Tutorial☆364Updated 9 months ago
- Applied AI experiments and examples for PyTorch☆277Updated 3 weeks ago
- This repository is established to store personal notes and annotated papers during daily research.☆128Updated this week
- AlpaServe: Statistical Multiplexing with Model Parallelism for Deep Learning Serving (OSDI 23)☆81Updated last year
- ☆170Updated last year
- LLM serving cluster simulator☆106Updated last year
- Here are my personal paper reading notes (including cloud computing, resource management, systems, machine learning, deep learning, and o…☆107Updated 2 weeks ago
- ☆595Updated last month