S-Lab-System-Group / Awesome-ML-for-System
SOTA Learning-augmented Systems
☆32Updated 2 years ago
Related projects: ⓘ
- A GPU-accelerated DNN inference serving system that supports instant kernel preemption and biased concurrent execution in GPU scheduling.☆39Updated 2 years ago
- DISB is a new DNN inference serving benchmark with diverse workloads and models, as well as real-world traces.☆46Updated 3 weeks ago
- ☆37Updated 2 years ago
- ☆48Updated 3 years ago
- ☆40Updated last year
- Proteus: A High-Throughput Inference-Serving System with Accuracy Scaling☆8Updated 6 months ago
- ☆19Updated last year
- ☆45Updated last year
- Bamboo is a system for running large pipeline-parallel DNNs affordably, reliably, and efficiently using spot instances.☆46Updated last year
- ☆12Updated 3 months ago
- ☆13Updated 2 years ago
- ☆22Updated 2 years ago
- LLMServingSim: A HW/SW Co-Simulation Infrastructure for LLM Inference Serving at Scale☆32Updated last month
- Fast and Efficient Model Serving Using Multi-GPUs with Direct-Host-Access (ACM EuroSys '23)☆51Updated 5 months ago
- Artifacts for our ASPLOS'23 paper ElasticFlow☆51Updated 4 months ago
- PipeSwitch: Fast Pipelined Context Switching for Deep Learning Applications☆124Updated 2 years ago
- ☆49Updated 2 years ago
- REEF is a GPU-accelerated DNN inference serving system that enables instant kernel preemption and biased concurrent execution in GPU sche…☆84Updated last year
- Code for "Shockwave: Fair and Efficient Cluster Scheduling for Dynamic Adaptation in Machine Learning" [NSDI '23]☆38Updated last year
- Multi-Instance-GPU profiling tool☆51Updated last year
- Artifacts for our SIGCOMM'22 paper Muri☆38Updated 8 months ago
- Artifact of OSDI '24 paper, ”Llumnix: Dynamic Scheduling for Large Language Model Serving“☆54Updated 3 months ago
- ☆18Updated 2 years ago
- Compiler for Dynamic Neural Networks☆42Updated 10 months ago
- Tacker: Tensor-CUDA Core Kernel Fusion for Improving the GPU Utilization while Ensuring QoS☆17Updated 2 years ago
- ☆31Updated 3 months ago
- An interference-aware scheduler for fine-grained GPU sharing☆92Updated 4 months ago
- Here are my personal paper reading notes (including cloud computing, resource management, systems, machine learning, deep learning, and o…☆38Updated 3 weeks ago
- Primo: Practical Learning-Augmented Systems with Interpretable Models☆18Updated 8 months ago
- MAGIS: Memory Optimization via Coordinated Graph Transformation and Scheduling for DNN (ASPLOS'24)☆35Updated 3 months ago