firechecking / CleanParallel
an implementation of parallel skills like amp, ddp, pp, tp for learning purposes
☆12Updated 10 months ago
Related projects: ⓘ
- ☆15Updated this week
- A PyTorch-like deep learning framework. Just for fun.☆128Updated 11 months ago
- Here are my personal paper reading notes (including cloud computing, resource management, systems, machine learning, deep learning, and o…☆38Updated last month
- ☆49Updated 2 years ago
- ATC23 AE☆42Updated last year
- [OSDI'24] Serving LLM-based Applications Efficiently with Semantic Variable☆89Updated last week
- llm theoretical performance analysis tools and support params, flops, memory and latency analysis.☆29Updated last week
- [ICML 2024] Serving LLMs on heterogeneous decentralized clusters.☆14Updated 4 months ago
- High performance RDMA-based distributed feature collection component for training GNN model on EXTREMELY large graph☆46Updated 2 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…☆153Updated this week
- This repository is established to store personal notes and annotated papers during daily research.☆78Updated last week
- paper and its code for AI System☆202Updated 3 weeks ago
- A tiny yet powerful LLM inference system tailored for researching purpose. vLLM-equivalent performance with only 2k lines of code (2% of …☆84Updated 2 months ago
- SpotServe: Serving Generative Large Language Models on Preemptible Instances☆92Updated 6 months ago
- AlpaServe: Statistical Multiplexing with Model Parallelism for Deep Learning Serving (OSDI 23)☆76Updated last year
- ☆29Updated last month
- A ChatGPT(GPT-3.5) & GPT-4 Workload Trace to Optimize LLM Serving Systems☆110Updated last month
- FGNN's artifact evaluation (EuroSys 2022)☆17Updated 2 years ago
- ☆16Updated 4 months ago
- deep learning framework from scratch☆24Updated 2 years ago
- Adaptive Message Quantization and Parallelization for Distributed Full-graph GNN Training☆18Updated 6 months ago
- [USENIX ATC '24] Accelerating the Training of Large Language Models using Efficient Activation Rematerialization and Optimal Hybrid Paral…☆41Updated last month
- Artifacts for our ASPLOS'23 paper ElasticFlow☆51Updated 4 months ago
- ☆11Updated last year
- Efficient and easy multi-instance LLM serving☆119Updated this week
- ☆12Updated 2 months ago
- A high-performance distributed deep learning system targeting large-scale and automated distributed training. If you have any interests, …☆101Updated 9 months ago
- Proteus: A High-Throughput Inference-Serving System with Accuracy Scaling☆8Updated 6 months ago
- Cupcake: A Compression Scheduler for Scalable Communication-Efficient Distributed Training (MLSys '23)☆8Updated last year
- My paper/code reading notes in Chinese☆44Updated 4 months ago