S-Lab-System-Group / ChronusArtifactLinks
☆22Updated 3 years ago
Alternatives and similar repositories for ChronusArtifact
Users that are interested in ChronusArtifact are comparing it to the libraries listed below
Sorting:
- HeliosArtifact☆20Updated 2 years ago
- A Deep Learning Cluster Scheduler☆39Updated 4 years ago
- Helios Traces from SenseTime☆56Updated 2 years ago
- ☆20Updated last year
- ☆44Updated last year
- ☆51Updated 2 years ago
- a deep learning-driven scheduler for elastic training in deep learning clusters☆30Updated 4 years ago
- Lucid: A Non-Intrusive, Scalable and Interpretable Scheduler for Deep Learning Training Jobs☆55Updated 2 years ago
- A Cluster-Wide Model Manager to Accelerate DNN Training via Automated Training Warmup☆35Updated 2 years ago
- Artifacts for our SIGCOMM'22 paper Muri☆42Updated last year
- Artifact for "Shockwave: Fair and Efficient Cluster Scheduling for Dynamic Adaptation in Machine Learning" [NSDI '23]☆44Updated 2 years ago
- PipeSwitch: Fast Pipelined Context Switching for Deep Learning Applications☆127Updated 3 years ago
- Code for "Solving Large-Scale Granular Resource Allocation Problems Efficiently with POP", which appeared at SOSP 2021☆26Updated 3 years ago
- ☆37Updated last month
- Surrogate-based Hyperparameter Tuning System☆28Updated 2 years ago
- Code for "Heterogenity-Aware Cluster Scheduling Policies for Deep Learning Workloads", which appeared at OSDI 2020☆128Updated last year
- SOTA Learning-augmented Systems☆36Updated 3 years ago
- Artifacts for our ASPLOS'23 paper ElasticFlow☆52Updated last year
- Tiresias is a GPU cluster manager for distributed deep learning training.☆155Updated 5 years ago
- ☆16Updated last year
- Primo: Practical Learning-Augmented Systems with Interpretable Models☆19Updated last year
- Model-less Inference Serving☆90Updated last year
- The source code of INFless，a native serverless platform for AI inference.☆40Updated 2 years ago
- Serverless optimizations☆51Updated last year
- This repository contains code for the paper: Bergsma S., Zeyl T., Senderovich A., and Beck J. C., "Generating Complex, Realistic Cloud Wo…☆43Updated 3 years ago
- ☆300Updated last year
- ☆191Updated 5 years ago
- DISB is a new DNN inference serving benchmark with diverse workloads and models, as well as real-world traces.☆53Updated 11 months ago
- An Efficient Dynamic Resource Scheduler for Deep Learning Clusters☆42Updated 7 years ago
- 🔮 Execution time predictions for deep neural network training iterations across different GPUs.☆63Updated 2 years ago