4 papers
AI Infrastructure in Space: How Far Can We Go?
Qing Li, Qiyang Zhang, Daliang Xu +10
Satellites are becoming programmable computing platforms capable of running increasingly demanding AI workloads. This shift raises a systems problem: how can AI services remain dep…
Clear-Weighted Bit Allocation for Satellite Downlinks
Alireza Furutanpey, Qiyang Zhang, Yujie Huang +2
Earth-observation satellites capture more imagery than intermittent ground contacts can transmit. Onboard systems threshold a cloud detector, discard frames or tiles, and compress…
Optimizing Multi-DNN Inference on Mobile Devices through Heterogeneous Processor Co-Execution
Yunquan Gao, Zhiguo Zhang, Praveen Kumar Donta +4
Deep Neural Networks (DNNs) are increasingly deployed across diverse industries, driving demand for mobile device support. However, existing mobile inference frameworks often rely…
Energy and Time-Aware Inference Offloading for DNN-based Applications in LEO Satellites
Yijie Chen, Qiyang Zhang, Yiran Zhang +2
In recent years, Low Earth Orbit (LEO) satellites have witnessed rapid development, with inference based on Deep Neural Network (DNN) models emerging as the prevailing technology f…