ysyisyourbrother / awesome-on-device-AILinks
A curated list of awesome projects and papers for AI on Mobile/IoT/Edge devices. Everything is continuously updating. Welcome contribution!
☆38Updated last year
Alternatives and similar repositories for awesome-on-device-AI
Users that are interested in awesome-on-device-AI are comparing it to the libraries listed below
Sorting:
- Open-source implementation for "Helix: Serving Large Language Models over Heterogeneous GPUs and Network via Max-Flow"☆46Updated 6 months ago
- ☆99Updated last year
- This is a list of awesome edgeAI inference related papers.☆96Updated last year
- ☆201Updated last year
- Artifacts for our ASPLOS'23 paper ElasticFlow☆51Updated last year
- AlpaServe: Statistical Multiplexing with Model Parallelism for Deep Learning Serving (OSDI 23)☆81Updated last year
- Lucid: A Non-Intrusive, Scalable and Interpretable Scheduler for Deep Learning Training Jobs☆53Updated 2 years ago
- ☆50Updated 2 years ago
- A Cluster-Wide Model Manager to Accelerate DNN Training via Automated Training Warmup☆34Updated 2 years ago
- ☆37Updated 3 years ago
- LLM serving cluster simulator☆102Updated last year
- This repository is established to store personal notes and annotated papers during daily research.☆125Updated this week
- A ChatGPT(GPT-3.5) & GPT-4 Workload Trace to Optimize LLM Serving Systems☆174Updated 7 months ago
- ☆49Updated 5 months ago
- Artifact for "Shockwave: Fair and Efficient Cluster Scheduling for Dynamic Adaptation in Machine Learning" [NSDI '23]☆44Updated 2 years ago
- Artifacts for our SIGCOMM'22 paper Muri☆41Updated last year
- Efficient Interactive LLM Serving with Proxy Model-based Sequence Length Prediction | A tiny BERT model can tell you the verbosity of an …☆35Updated last year
- ☆14Updated 9 months ago
- ☆17Updated last year
- Here are my personal paper reading notes (including cloud computing, resource management, systems, machine learning, deep learning, and o…☆105Updated this week
- ☆43Updated 11 months ago
- SpotServe: Serving Generative Large Language Models on Preemptible Instances☆121Updated last year
- Code for "Heterogenity-Aware Cluster Scheduling Policies for Deep Learning Workloads", which appeared at OSDI 2020☆128Updated 10 months ago
- PipeEdge: Pipeline Parallelism for Large-Scale Model Inference on Heterogeneous Edge Devices☆33Updated last year
- An interference-aware scheduler for fine-grained GPU sharing☆137Updated 4 months ago
- ☆16Updated last year
- PipeSwitch: Fast Pipelined Context Switching for Deep Learning Applications☆126Updated 3 years ago
- Compiler for Dynamic Neural Networks☆46Updated last year
- DISB is a new DNN inference serving benchmark with diverse workloads and models, as well as real-world traces.☆52Updated 9 months ago
- ☆73Updated 3 years ago