aravic / generalizable-device-placementLinks
Reference code for https://arxiv.org/abs/1906.08879
☆18Updated 6 years ago
Alternatives and similar repositories for generalizable-device-placement
Users that are interested in generalizable-device-placement are comparing it to the libraries listed below
Sorting:
- Metis: Learning to Schedule Long-Running Applications in Shared Container Clusters with at Scale☆19Updated 5 years ago
- HeliosArtifact☆22Updated 3 years ago
- ☆41Updated 5 years ago
- Helios Traces from SenseTime☆61Updated 3 years ago
- [NSDI 2023] TopoOpt: Optimizing the Network Topology for Distributed DNN Training☆38Updated last year
- ☆49Updated last year
- Code for "Solving Large-Scale Granular Resource Allocation Problems Efficiently with POP", which appeared at SOSP 2021☆28Updated 4 years ago
- AlpaServe: Statistical Multiplexing with Model Parallelism for Deep Learning Serving (OSDI 23)☆93Updated 2 years ago
- ☆228Updated 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…☆43Updated 4 years ago
- https://arxiv.org/abs/1706.04972☆45Updated 7 years ago
- ☆14Updated 4 years ago
- A Deep Learning Cluster Scheduler☆37Updated 5 years ago
- ☆23Updated 4 years ago
- Artifact for "Shockwave: Fair and Efficient Cluster Scheduling for Dynamic Adaptation in Machine Learning" [NSDI '23]☆46Updated 3 years ago
- ☆95Updated 2 years ago
- Artifacts for our SIGCOMM'22 paper Muri☆43Updated 2 years ago
- A Generic Resource-Aware Hyperparameter Tuning Execution Engine☆15Updated 4 years ago
- Dorylus: Affordable, Scalable, and Accurate GNN Training☆76Updated 4 years ago
- Learning Scheduling Algorithms for Data Processing Clusters☆320Updated 4 years ago
- ☆52Updated 3 years ago
- a deep learning-driven scheduler for elastic training in deep learning clusters☆31Updated 5 years ago
- Bamboo is a system for running large pipeline-parallel DNNs affordably, reliably, and efficiently using spot instances.☆55Updated 3 years ago
- RLScheduler: An AutomatedHPC Batch Job Scheduler Using Reinforcement Learning [SC'20]☆64Updated 2 years ago
- A Cluster-Wide Model Manager to Accelerate DNN Training via Automated Training Warmup☆35Updated 3 years ago
- Artifacts for our ASPLOS'23 paper ElasticFlow☆55Updated last year
- 🔮 Execution time predictions for deep neural network training iterations across different GPUs.☆64Updated 3 years ago
- Boost hardware utilization for ML training workloads via Inter-model Horizontal Fusion☆32Updated last year
- Herald: Accelerating Neural Recommendation Training with Embedding Scheduling (NSDI 2024)☆23Updated last year
- PipeSwitch: Fast Pipelined Context Switching for Deep Learning Applications☆127Updated 3 years ago