S-Lab-System-Group / Awesome-ML-for-SystemLinks
SOTA Learning-augmented Systems
☆37Updated 3 years ago
Alternatives and similar repositories for Awesome-ML-for-System
Users that are interested in Awesome-ML-for-System are comparing it to the libraries listed below
Sorting:
- DISB is a new DNN inference serving benchmark with diverse workloads and models, as well as real-world traces.☆54Updated last year
- A GPU-accelerated DNN inference serving system that supports instant kernel preemption and biased concurrent execution in GPU scheduling.☆43Updated 3 years ago
- ☆38Updated 3 months ago
- ☆25Updated 2 years ago
- REEF is a GPU-accelerated DNN inference serving system that enables instant kernel preemption and biased concurrent execution in GPU sche…☆100Updated 2 years ago
- ☆15Updated 3 years ago
- [ACM EuroSys 2023] Fast and Efficient Model Serving Using Multi-GPUs with Direct-Host-Access☆57Updated last month
- ☆51Updated 2 years ago
- Artifact for "Shockwave: Fair and Efficient Cluster Scheduling for Dynamic Adaptation in Machine Learning" [NSDI '23]☆45Updated 2 years ago
- Artifact of OSDI '24 paper, ”Llumnix: Dynamic Scheduling for Large Language Model Serving“☆62Updated last year
- Proteus: A High-Throughput Inference-Serving System with Accuracy Scaling☆13Updated last year
- Artifacts for our ASPLOS'23 paper ElasticFlow☆53Updated last year
- ☆16Updated last year
- Artifact for "Apparate: Rethinking Early Exits to Tame Latency-Throughput Tensions in ML Serving" [SOSP '24]☆25Updated 10 months ago
- Multi-Instance-GPU profiling tool☆59Updated 2 years ago
- PipeSwitch: Fast Pipelined Context Switching for Deep Learning Applications☆127Updated 3 years ago
- Bamboo is a system for running large pipeline-parallel DNNs affordably, reliably, and efficiently using spot instances.☆51Updated 2 years ago
- Model-less Inference Serving☆92Updated last year
- ☆77Updated 3 years ago
- ☆51Updated 9 months ago
- ☆17Updated 2 years ago
- ☆56Updated 4 years ago
- Paella: Low-latency Model Serving with Virtualized GPU Scheduling☆62Updated last year
- Artifacts for our SIGCOMM'22 paper Muri☆43Updated last year
- PerFlow-AI is a programmable performance analysis, modeling, prediction tool for AI system.☆24Updated 2 weeks ago
- Open-source implementation for "Helix: Serving Large Language Models over Heterogeneous GPUs and Network via Max-Flow"☆67Updated 10 months ago
- Medusa: Accelerating Serverless LLM Inference with Materialization [ASPLOS'25]☆30Updated 4 months ago
- Compiler for Dynamic Neural Networks☆46Updated last year
- NEO is a LLM inference engine built to save the GPU memory crisis by CPU offloading☆62Updated 3 months ago
- ☆24Updated 3 years ago