marcoszh / MArk-Project
Exploiting Cloud Services for Cost-Effective, SLO-Aware Machine Learning Inference Serving
☆35Updated 4 years ago
Related projects: ⓘ
- An Efficient Dynamic Resource Scheduler for Deep Learning Clusters☆41Updated 6 years ago
- Fine-grained GPU sharing primitives☆139Updated 4 years ago
- Analyze network performance in distributed training☆16Updated 3 years ago
- Tiresias is a GPU cluster manager for distributed deep learning training.☆148Updated 4 years ago
- Model-less Inference Serving☆78Updated 10 months ago
- PipeSwitch: Fast Pipelined Context Switching for Deep Learning Applications☆124Updated 2 years ago
- The source code of INFless,a native serverless platform for AI inference.☆33Updated last year
- ☆172Updated 5 years ago
- Helios Traces from SenseTime☆47Updated last year
- Machine learning on serverless platform☆7Updated 2 years ago
- This repository contains code for the paper: Bergsma S., Zeyl T., Senderovich A., and Beck J. C., "Generating Complex, Realistic Cloud Wo…☆42Updated 2 years ago
- FaaSNet: Scalable and Fast Provisioning of Custom Serverless Container Runtimes at Alibaba Cloud Function Compute (USENIX ATC'21)☆53Updated 2 years ago
- Serverless optimizations☆50Updated 6 months ago
- Code for "Heterogenity-Aware Cluster Scheduling Policies for Deep Learning Workloads", which appeared at OSDI 2020☆124Updated last month
- ☆19Updated 2 years ago
- BytePS examples (Vision, NLP, GAN, etc)☆19Updated last year
- Metis: Learning to Schedule Long-Running Applications in Shared Container Clusters with at Scale☆17Updated 4 years ago
- ☆23Updated last year
- 🔮 Execution time predictions for deep neural network training iterations across different GPUs.☆55Updated last year
- ☆41Updated 3 years ago
- A Generic Resource-Aware Hyperparameter Tuning Execution Engine☆15Updated 2 years ago
- Code for "Shockwave: Fair and Efficient Cluster Scheduling for Dynamic Adaptation in Machine Learning" [NSDI '23]☆38Updated last year
- ☆21Updated last year
- ☆81Updated last year
- ☆45Updated last year
- A Deep Learning Cluster Scheduler☆36Updated 3 years ago
- SOTA Learning-augmented Systems☆32Updated 2 years ago
- ☆20Updated 5 years ago
- A benchmark suite for evaluating FaaS scheduler.☆22Updated last year
- ☆39Updated last year