GPU-Based Embedded Intelligence Architectures and Applications

This paper present contributions to the state-of-the art for graphics processing unit (GPU-based) embedded intelligence (EI) research architectures and applications. gives a comprehensive review representative studies of emerging current paradigms GPU-based EI with focus on architecture, technologies applications: (1) First, overview classifications are presented give full spectrum in this area that also serves as concise summary scope paper; (2) Second, various architecture deep learning techniques applications discussed detail; (3) Third, machine discussed. aims useful insights motivate researchers towards development practical deployment