HuaizhengZhang / MIGProfiler
Multi-Instance-GPU profiling tool
☆57Updated last year
Alternatives and similar repositories for MIGProfiler:
Users that are interested in MIGProfiler are comparing it to the libraries listed below
- ☆24Updated last year
- ☆37Updated 3 years ago
- ☆53Updated 4 years ago
- SOTA Learning-augmented Systems☆35Updated 2 years ago
- ☆35Updated 4 years ago
- An interference-aware scheduler for fine-grained GPU sharing☆127Updated last month
- DISB is a new DNN inference serving benchmark with diverse workloads and models, as well as real-world traces.☆53Updated 7 months ago
- Fast and Efficient Model Serving Using Multi-GPUs with Direct-Host-Access (ACM EuroSys '23)☆57Updated 11 months ago
- PipeSwitch: Fast Pipelined Context Switching for Deep Learning Applications☆127Updated 2 years ago
- Artifacts for our ASPLOS'23 paper ElasticFlow☆52Updated 10 months ago
- Fine-grained GPU sharing primitives☆141Updated 5 years ago
- A GPU-accelerated DNN inference serving system that supports instant kernel preemption and biased concurrent execution in GPU scheduling.☆42Updated 2 years ago
- ☆46Updated 2 months ago
- Bamboo is a system for running large pipeline-parallel DNNs affordably, reliably, and efficiently using spot instances.☆49Updated 2 years ago
- A resilient distributed training framework☆89Updated 11 months ago
- Model-less Inference Serving☆85Updated last year
- Proteus: A High-Throughput Inference-Serving System with Accuracy Scaling☆10Updated last year
- ☆49Updated 2 years ago
- 🔮 Execution time predictions for deep neural network training iterations across different GPUs.☆60Updated 2 years ago
- AlpaServe: Statistical Multiplexing with Model Parallelism for Deep Learning Serving (OSDI 23)☆82Updated last year
- LLM serving cluster simulator☆93Updated 10 months ago
- A Cluster-Wide Model Manager to Accelerate DNN Training via Automated Training Warmup☆34Updated 2 years ago
- Stateful LLM Serving☆48Updated last week
- Code for "Heterogenity-Aware Cluster Scheduling Policies for Deep Learning Workloads", which appeared at OSDI 2020☆126Updated 7 months ago
- Here are my personal paper reading notes (including cloud computing, resource management, systems, machine learning, deep learning, and o…☆73Updated 2 weeks ago
- REEF is a GPU-accelerated DNN inference serving system that enables instant kernel preemption and biased concurrent execution in GPU sche…☆92Updated 2 years ago
- Code for "Shockwave: Fair and Efficient Cluster Scheduling for Dynamic Adaptation in Machine Learning" [NSDI '23]☆39Updated 2 years ago
- Paella: Low-latency Model Serving with Virtualized GPU Scheduling☆58Updated 10 months ago
- SpotServe: Serving Generative Large Language Models on Preemptible Instances☆112Updated last year
- Lucid: A Non-Intrusive, Scalable and Interpretable Scheduler for Deep Learning Training Jobs☆53Updated last year