CPUs and GPUs in Smart Home Devices: Performance, Applications, and Future Directions

Abstract

This paper explores the performance and applications of central processing units (CPUs) and graphics processing units (GPUs) in smart home devices. It delves into the background and trends of smart home evolution, highlighting the applied technologies and the roles of CPU and GPU. The literature review presents advancements in CPU and GPU technologies for smart home devices, including their developments in home data processing, image recognition, and device interconnection. The methodology section discusses the architecture design of CPU and GPU in smart home devices, emphasizing multi-core design, parallel processing, and cache optimization. The applications of CPUs and GPUs are examined in smart home appliances and home entertainment systems, including their roles in device control, energy efficiency management, intelligent operation interfaces, 4K video processing, game graphics rendering, and intelligent recommendation systems. The experiment evaluates the performance of CPUs and GPUs in smart home devices through a simulated home environment and specific performance indicators. Finally, the conclusion emphasizes the importance of high-performance computing chips in smart home devices. It suggests future research directions, including optimizing performance, integrating AI technology, and developing new computing chips.