casys-kaist / Edge-schedulerLinks
☆14Updated 4 years ago
Alternatives and similar repositories for Edge-scheduler
Users that are interested in Edge-scheduler are comparing it to the libraries listed below
Sorting:
- zTT: Learning-based DVFS with Zero Thermal Throttling for Mobile Devices [MobiSys'21] - Artifact Evaluation☆26Updated 4 years ago
- This is a list of awesome edgeAI inference related papers.☆98Updated last year
- A version of XRBench-MAESTRO used for MLSys 2023 publication☆25Updated 2 years ago
- Multi-Instance-GPU profiling tool☆59Updated 2 years ago
- Source code for the paper: "A Latency-Predictable Multi-Dimensional Optimization Framework forDNN-driven Autonomous Systems"☆22Updated 4 years ago
- ☆78Updated 2 years ago
- ☆19Updated 3 years ago
- Model-less Inference Serving☆92Updated last year
- Experimental deep learning framework written in Rust☆15Updated 2 years ago
- SOTA Learning-augmented Systems☆37Updated 3 years ago
- Multi-DNN Inference Engine for Heterogeneous Mobile Processors☆35Updated last year
- Cache design for CNN on mobile☆34Updated 7 years ago
- A GPU-accelerated DNN inference serving system that supports instant kernel preemption and biased concurrent execution in GPU scheduling.☆43Updated 3 years ago
- ☆37Updated 2 months ago
- ☆21Updated 3 years ago
- DISB is a new DNN inference serving benchmark with diverse workloads and models, as well as real-world traces.☆54Updated last year
- A tool for examining GPU scheduling behavior.☆88Updated last year
- An Efficient Dynamic Resource Scheduler for Deep Learning Clusters☆42Updated 7 years ago
- MobiSys#114☆22Updated 2 years ago
- ☆51Updated 2 years ago
- (ICPP '20) ShadowTutor: Distributed Partial Distillation for Mobile Video DNN Inference☆12Updated 5 years ago
- [ACM EuroSys 2023] Fast and Efficient Model Serving Using Multi-GPUs with Direct-Host-Access☆57Updated last month
- PipeSwitch: Fast Pipelined Context Switching for Deep Learning Applications☆127Updated 3 years ago
- Source code and datasets for Ekya, a system for continuous learning on the edge.☆107Updated 3 years ago
- ☆25Updated 2 years ago
- Multi-branch model for concurrent execution☆17Updated 2 years ago
- The code for paper: Neuralpower: Predict and deploy energy-efficient convolutional neural networks☆21Updated 6 years ago
- LaLaRAND: Flexible Layer-by-Layer CPU/GPU Scheduling for Real-Time DNN Tasks☆15Updated 3 years ago
- [MLSys 2021] IOS: Inter-Operator Scheduler for CNN Acceleration☆201Updated 3 years ago
- ☆84Updated 3 months ago