galeselee / Awesome_LLM_System-PaperList
Since the emergence of chatGPT in 2022, the acceleration of Large Language Model has become increasingly important. Here is a list of papers on accelerating LLMs, currently focusing mainly on inference acceleration, and related works will be gradually added in the future. Welcome contributions!
☆220Updated last month
Alternatives and similar repositories for Awesome_LLM_System-PaperList:
Users that are interested in Awesome_LLM_System-PaperList are comparing it to the libraries listed below
- This repository is established to store personal notes and annotated papers during daily research.☆109Updated this week
- A ChatGPT(GPT-3.5) & GPT-4 Workload Trace to Optimize LLM Serving Systems☆145Updated 4 months ago
- Summary of some awesome work for optimizing LLM inference☆57Updated 2 weeks ago
- paper and its code for AI System☆272Updated 3 weeks ago
- [OSDI'24] Serving LLM-based Applications Efficiently with Semantic Variable☆143Updated 4 months ago
- High performance Transformer implementation in C++.☆102Updated last month
- ☆83Updated 3 months ago
- Curated collection of papers in MoE model inference☆64Updated this week
- Dynamic Memory Management for Serving LLMs without PagedAttention☆290Updated last week
- nnScaler: Compiling DNN models for Parallel Training☆91Updated this week
- InfiniGen: Efficient Generative Inference of Large Language Models with Dynamic KV Cache Management (OSDI'24)☆106Updated 7 months ago
- A low-latency & high-throughput serving engine for LLMs☆310Updated 2 weeks ago
- A tiny yet powerful LLM inference system tailored for researching purpose. vLLM-equivalent performance with only 2k lines of code (2% of …☆138Updated 7 months ago
- PyTorch implementation of paper "Response Length Perception and Sequence Scheduling: An LLM-Empowered LLM Inference Pipeline".☆81Updated last year
- Flash-LLM: Enabling Cost-Effective and Highly-Efficient Large Generative Model Inference with Unstructured Sparsity☆199Updated last year
- SpotServe: Serving Generative Large Language Models on Preemptible Instances☆112Updated 11 months ago
- Puzzles for learning Triton, play it with minimal environment configuration!☆225Updated 2 months ago
- [ICML 2024] Quest: Query-Aware Sparsity for Efficient Long-Context LLM Inference☆244Updated 2 months ago
- [NeurIPS 2024] Efficient LLM Scheduling by Learning to Rank☆39Updated 3 months ago
- ☆64Updated 2 years ago
- LLM serving cluster simulator☆92Updated 9 months ago
- A fast communication-overlapping library for tensor parallelism on GPUs.☆295Updated 3 months ago
- 📰 Must-read papers on KV Cache Compression (constantly updating 🤗).☆296Updated 2 weeks ago
- A baseline repository of Auto-Parallelism in Training Neural Networks☆142Updated 2 years ago
- ☆101Updated 6 months ago
- Disaggregated serving system for Large Language Models (LLMs).☆466Updated 6 months ago
- Artifact of OSDI '24 paper, ”Llumnix: Dynamic Scheduling for Large Language Model Serving“☆60Updated 8 months ago
- Awesome-LLM-KV-Cache: A curated list of 📙Awesome LLM KV Cache Papers with Codes.☆206Updated 2 months ago
- Efficient and easy multi-instance LLM serving☆295Updated this week
- A resilient distributed training framework☆88Updated 10 months ago