Relaxed-System-Lab / HexiScaleLinks
Accommodating Large Language Model Training over Heterogeneous Environment.
☆25Updated 8 months ago
Alternatives and similar repositories for HexiScale
Users that are interested in HexiScale are comparing it to the libraries listed below
Sorting:
- InfiniGen: Efficient Generative Inference of Large Language Models with Dynamic KV Cache Management (OSDI'24)☆161Updated last year
- A ChatGPT(GPT-3.5) & GPT-4 Workload Trace to Optimize LLM Serving Systems☆220Updated 4 months ago
- Since the emergence of chatGPT in 2022, the acceleration of Large Language Model has become increasingly important. Here is a list of pap…☆279Updated 8 months ago
- ☆79Updated last month
- ☆123Updated last year
- This repository is established to store personal notes and annotated papers during daily research.☆162Updated last week
- This repository serves as a comprehensive survey of LLM development, featuring numerous research papers along with their corresponding co…☆248Updated 4 months ago
- A large-scale simulation framework for LLM inference☆485Updated 4 months ago
- PyTorch library for cost-effective, fast and easy serving of MoE models.☆262Updated last month
- A resilient distributed training framework☆96Updated last year
- A tiny yet powerful LLM inference system tailored for researching purpose. vLLM-equivalent performance with only 2k lines of code (2% of …☆289Updated 5 months ago
- ☆152Updated 4 months ago
- [ICML 2024] Serving LLMs on heterogeneous decentralized clusters.☆31Updated last year
- [ASPLOS'25] Towards End-to-End Optimization of LLM-based Applications with Ayo☆51Updated 3 months ago
- paper and its code for AI System☆338Updated 3 months ago
- SpotServe: Serving Generative Large Language Models on Preemptible Instances☆132Updated last year
- nnScaler: Compiling DNN models for Parallel Training☆119Updated 2 months ago
- Curated collection of papers in MoE model inference☆307Updated last month
- Summary of some awesome work for optimizing LLM inference☆138Updated 3 weeks ago
- High performance Transformer implementation in C++.☆142Updated 10 months ago
- ☆27Updated last year
- Here are my personal paper reading notes (including cloud computing, resource management, systems, machine learning, deep learning, and o…☆134Updated 3 weeks ago
- [OSDI'24] Serving LLM-based Applications Efficiently with Semantic Variable☆196Updated last year
- Dynamic Memory Management for Serving LLMs without PagedAttention☆444Updated 5 months ago
- A low-latency & high-throughput serving engine for LLMs☆447Updated last month
- [NeurIPS 2024] Efficient LLM Scheduling by Learning to Rank☆64Updated last year
- 📰 Must-read papers on KV Cache Compression (constantly updating 🤗).☆608Updated 2 months ago
- ☆88Updated 3 years ago
- ☆21Updated last year
- ☆140Updated last year