hpcclab / E2C-Sim
This project includes a simulator and workload generator for Edge-to-Cloud environments. Users can implement different scenarios, including those with heterogeneous Edge and Cloud resources and configure energy constraints on them.
☆16Updated 6 months ago
Alternatives and similar repositories for E2C-Sim:
Users that are interested in E2C-Sim are comparing it to the libraries listed below
- a deep learning-driven scheduler for elastic training in deep learning clusters☆29Updated 4 years ago
- ☆20Updated 3 years ago
- HeliosArtifact☆20Updated 2 years ago
- ☆24Updated last year
- Metis: Learning to Schedule Long-Running Applications in Shared Container Clusters with at Scale☆17Updated 4 years ago
- (ICPP '20) ShadowTutor: Distributed Partial Distillation for Mobile Video DNN Inference☆12Updated 4 years ago
- ☆35Updated 7 months ago
- A Deep Learning Cluster Scheduler☆37Updated 4 years ago
- ☆10Updated 2 years ago
- An Efficient Dynamic Resource Scheduler for Deep Learning Clusters☆42Updated 7 years ago
- Official resporitory for "IPDPS' 24 QSync: Quantization-Minimized Synchronous Distributed Training Across Hybrid Devices".☆19Updated 11 months ago
- RLScheduler: An AutomatedHPC Batch Job Scheduler Using Reinforcement Learning [SC'20]☆57Updated last year
- PipeEdge: Pipeline Parallelism for Large-Scale Model Inference on Heterogeneous Edge Devices☆29Updated last year
- Surrogate-based Hyperparameter Tuning System☆28Updated last year
- A Cluster-Wide Model Manager to Accelerate DNN Training via Automated Training Warmup☆34Updated 2 years ago
- Tiresias is a GPU cluster manager for distributed deep learning training.☆151Updated 4 years ago
- ☆23Updated last year
- ☆11Updated last month
- SOTA Learning-augmented Systems☆34Updated 2 years ago
- ☆39Updated 4 years ago
- ☆48Updated 2 years ago
- ☆35Updated 4 years ago
- ☆14Updated 3 years ago
- The source code of INFless,a native serverless platform for AI inference.☆36Updated 2 years ago
- BATCH: Adaptive Batching for Efficient MachineLearning Serving on Serverless Platforms☆9Updated 3 years ago
- ☆37Updated 3 years ago
- Lucid: A Non-Intrusive, Scalable and Interpretable Scheduler for Deep Learning Training Jobs☆52Updated last year
- ☆17Updated 2 years ago
- Code for "Solving Large-Scale Granular Resource Allocation Problems Efficiently with POP", which appeared at SOSP 2021☆24Updated 3 years ago
- Source code for the paper: "A Latency-Predictable Multi-Dimensional Optimization Framework forDNN-driven Autonomous Systems"☆21Updated 4 years ago