casys-kaist / Edge-scheduler
☆12Updated 3 years ago
Alternatives and similar repositories for Edge-scheduler:
Users that are interested in Edge-scheduler are comparing it to the libraries listed below
- zTT: Learning-based DVFS with Zero Thermal Throttling for Mobile Devices [MobiSys'21] - Artifact Evaluation☆22Updated 3 years ago
- This is a list of awesome edgeAI inference related papers.☆91Updated last year
- Source code for the paper: "A Latency-Predictable Multi-Dimensional Optimization Framework forDNN-driven Autonomous Systems"☆20Updated 4 years ago
- (ICPP '20) ShadowTutor: Distributed Partial Distillation for Mobile Video DNN Inference☆12Updated 4 years ago
- ☆19Updated 2 years ago
- Experimental deep learning framework written in Rust☆14Updated 2 years ago
- Multi-Instance-GPU profiling tool☆56Updated last year
- ☆74Updated last year
- Model-less Inference Serving☆83Updated last year
- Cache design for CNN on mobile☆32Updated 6 years ago
- MobiSys#114☆21Updated last year
- SOTA Learning-augmented Systems☆34Updated 2 years ago
- ☆37Updated 3 years ago
- ☆24Updated last year
- ☆18Updated 2 years ago
- A Portable C Library for Distributed CNN Inference on IoT Edge Clusters☆81Updated 4 years ago
- A version of XRBench-MAESTRO used for MLSys 2023 publication☆23Updated last year
- ☆48Updated 2 years ago
- A GPU-accelerated DNN inference serving system that supports instant kernel preemption and biased concurrent execution in GPU scheduling.☆40Updated 2 years ago
- FastFlow is a system that automatically detects CPU bottlenecks in deep learning training pipelines and resolves the bottlenecks with dat…☆26Updated last year
- Multi-branch model for concurrent execution☆16Updated last year
- PipeSwitch: Fast Pipelined Context Switching for Deep Learning Applications☆126Updated 2 years ago
- DISB is a new DNN inference serving benchmark with diverse workloads and models, as well as real-world traces.☆53Updated 4 months ago
- A Cluster-Wide Model Manager to Accelerate DNN Training via Automated Training Warmup☆34Updated 2 years ago
- Source code and datasets for Ekya, a system for continuous learning on the edge.☆104Updated 2 years ago
- ☆38Updated 4 years ago
- ☆83Updated 2 years ago
- Proteus: A High-Throughput Inference-Serving System with Accuracy Scaling☆9Updated 10 months ago
- A tool for examining GPU scheduling behavior.☆71Updated 5 months ago
- Fast and Efficient Model Serving Using Multi-GPUs with Direct-Host-Access (ACM EuroSys '23)☆54Updated 9 months ago