PKU-DAIR / HetuLinks
A high-performance distributed deep learning system targeting large-scale and automated distributed training.
☆313Updated 2 months ago
Alternatives and similar repositories for Hetu
Users that are interested in Hetu are comparing it to the libraries listed below
Sorting:
- A high-performance distributed deep learning system targeting large-scale and automated distributed training. If you have any interests, …☆115Updated last year
- paper and its code for AI System☆316Updated 2 months ago
- A baseline repository of Auto-Parallelism in Training Neural Networks☆144Updated 3 years ago
- The road to hack SysML and become an system expert☆490Updated 9 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…☆256Updated 4 months ago
- nnScaler: Compiling DNN models for Parallel Training☆113Updated this week
- ☆599Updated 2 months ago
- Disaggregated serving system for Large Language Models (LLMs).☆639Updated 3 months ago
- A curated list of awesome projects and papers for distributed training or inference☆239Updated 9 months ago
- [USENIX ATC '24] Accelerating the Training of Large Language Models using Efficient Activation Rematerialization and Optimal Hybrid Paral…☆58Updated 11 months ago
- A large-scale simulation framework for LLM inference☆403Updated 2 weeks ago
- ☆86Updated 3 years ago
- ATC23 AE☆45Updated 2 years ago
- A ChatGPT(GPT-3.5) & GPT-4 Workload Trace to Optimize LLM Serving Systems☆181Updated 8 months ago
- Easy Parallel Library (EPL) is a general and efficient deep learning framework for distributed model training.☆267Updated 2 years ago
- ☆80Updated last month
- A low-latency & high-throughput serving engine for LLMs☆388Updated last month
- Dynamic Memory Management for Serving LLMs without PagedAttention☆401Updated last month
- This repository is established to store personal notes and annotated papers during daily research.☆131Updated last week
- Latency and Memory Analysis of Transformer Models for Training and Inference☆434Updated 2 months ago
- AlpaServe: Statistical Multiplexing with Model Parallelism for Deep Learning Serving (OSDI 23)☆82Updated last year
- GLake: optimizing GPU memory management and IO transmission.☆470Updated 3 months ago
- Curated collection of papers in machine learning systems☆378Updated last month
- [ICML 2024] Serving LLMs on heterogeneous decentralized clusters.☆26Updated last year
- Zero Bubble Pipeline Parallelism☆403Updated 2 months ago
- An Efficient Pipelined Data Parallel Approach for Training Large Model☆77Updated 4 years ago
- ☆72Updated 3 years ago
- ☆106Updated 8 months ago
- Flash-LLM: Enabling Cost-Effective and Highly-Efficient Large Generative Model Inference with Unstructured Sparsity☆216Updated last year
- Curated collection of papers in MoE model inference☆204Updated 4 months ago