부산대학교 도서관

In recent years, the demand for onboard artificial intelligence (AI) computing in satellites has increased dramatically, as it can enhance the autonomy, efficiency, and capabilities of space missions. However, current data processing units (DPUs) face significant challenges in handling complex AI algorithms and large datasets required for onboard processing. In this paper, we propose a novel heterogeneous DPU architecture that combines several different processing units into a single architecture. The proposed DPU leverages the strengths of each processing unit to achieve high performance, flexibility, and energy efficiency, while addressing the power, storage, bandwidth and environmental constraints of space. We present the design methodology for the DPU, including the hardware architecture and AI capabilities. The product represents a potentially significant advancement in the field of onboard AI computing in satellites, with applications in a wide range of space missions.