Real-Time Computing Lab30
We are broadly interested in working on the real-time computing and investigating on both software and hardware improvements and techniques for real-time guarantee.
Real-time Scheduling and CPS
- Real-time scheduling in uni-processor, multiprocessor, and heterogeneous-core systems (e.g., big.LITTLE)
- Real-time multi-GPU Scheduling
- Mixed-criticality scheduling
- Real-time control for cyber-physical systems
Real-Time Guarantees for Machine Learning Applications
- Real-time scheduler for DNNs
- Analysis and minimize WCET of DNNs
- Multi-DNN to Multi-Device Scheduling
Physical-state Aware Adaptive Cyber Resource Management
- Dynamic execution behavior under varying physical states
- Adaptive resource allocation
Fault-Resilient Real-Time Ethernet Communication
- Run-time dynamic fault recovery upon link failure
Real-time Support for New Hardware and Software Systems
- Real-time support for new hardware and software
Advisor Professor : Chwa, Hoon Sung
Real-Time Computing Lab Homepage
Real-time Scheduling and CPS
- Real-time scheduling in uni-processor, multiprocessor, and heterogeneous-core systems (e.g., big.LITTLE)
- Real-time multi-GPU Scheduling
- Mixed-criticality scheduling
- Real-time control for cyber-physical systems
Real-Time Guarantees for Machine Learning Applications
- Real-time scheduler for DNNs
- Analysis and minimize WCET of DNNs
- Multi-DNN to Multi-Device Scheduling
Physical-state Aware Adaptive Cyber Resource Management
- Dynamic execution behavior under varying physical states
- Adaptive resource allocation
Fault-Resilient Real-Time Ethernet Communication
- Run-time dynamic fault recovery upon link failure
Real-time Support for New Hardware and Software Systems
- Real-time support for new hardware and software
Advisor Professor : Chwa, Hoon Sung
Real-Time Computing Lab Homepage
Co-Author(s)
Related Keyword
Recent Submissions
- Dynamic Load Balancing Framework for Compute-Network Resource Integration in MEC-Assisted Autonomous Vehicles
- MEMORY MANAGEMENT SYSTEM AND METHOD USING MEMORY VIRTUALIZATION AND REAL-TIME SCHEDULING
- 다중 카메라 영상에 대한 효율적 객체 검출 및 추적을 수행하는 전자 장치 및 그 동작 방법
- Timing guarantees for inference of AI models in embedded systems
- Late Breaking Results: Dynamically Scalable Pruning for Transformer-Based Large Language Models
