18221226. ELECTRONIC DEVICE CONTROLLING CPU CLOCK, METHOD FOR OPERATING SAME, AND STORAGE MEDIUM simplified abstract (Samsung Electronics Co., Ltd.)
ELECTRONIC DEVICE CONTROLLING CPU CLOCK, METHOD FOR OPERATING SAME, AND STORAGE MEDIUM
Organization Name
Inventor(s)
Hwayoung Chae of Suwon-si (KR)
ELECTRONIC DEVICE CONTROLLING CPU CLOCK, METHOD FOR OPERATING SAME, AND STORAGE MEDIUM - A simplified explanation of the abstract
This abstract first appeared for US patent application 18221226 titled 'ELECTRONIC DEVICE CONTROLLING CPU CLOCK, METHOD FOR OPERATING SAME, AND STORAGE MEDIUM
Simplified Explanation
The abstract of the patent application describes an embodiment of an electronic device that includes a communication processor with at least one central processing unit (CPU). The communication processor can enter an RRC_Connected state and control a clock level for the CPU to be a first CPU clock level corresponding to the RRC_Connected state. It can also identify workload information, such as CPU utilization information and bus traffic information, and provide this information as input to an artificial intelligence (AI) model. The AI model is trained using training data that includes CPU utilization information, bus traffic information, and CPU clock levels. Based on the provided workload information, the communication processor can identify a second CPU clock level as an output of the AI model.
- The electronic device includes a communication processor with at least one CPU.
- The communication processor can enter an RRC_Connected state and control the CPU clock level accordingly.
- Workload information, including CPU utilization and bus traffic information, can be identified by the communication processor.
- The identified workload information is provided as input to an AI model.
- The AI model is trained using CPU utilization information, bus traffic information, and CPU clock levels.
- Based on the provided workload information, the communication processor can determine a second CPU clock level using the AI model.
Potential applications of this technology:
- Optimizing power consumption and performance of electronic devices by dynamically adjusting CPU clock levels based on workload information.
- Enhancing resource allocation and management in communication systems by utilizing AI models to predict and control CPU clock levels.
Problems solved by this technology:
- Inefficient power consumption and performance management in electronic devices.
- Lack of intelligent and adaptive resource allocation in communication systems.
Benefits of this technology:
- Improved power efficiency and performance of electronic devices.
- Enhanced resource allocation and management in communication systems.
- Better utilization of CPU resources based on workload information.
Original Abstract Submitted
According to an embodiment, an electronic device may include at least one communication processor comprising at least one central processing unit (CPU). According to an embodiment, the at least one communication processor may be configured to enter an RRC_Connected state. According to an embodiment, the at least one communication processor may be configured to control a clock level for the at least one CPU to be a first CPU clock level corresponding to the RRC_Connected state. According to an embodiment, the at least one communication processor may be configured to identify workload information comprising at least one of utilization information of the at least one CPU and traffic information of at least one bus of the at least one communication processor. According to an embodiment, the at least one communication processor may be configured provide the workload information as an input to an artificial intelligence (AI) model, wherein the AI model is trained using training data comprising at least one of CPU utilization information and bus traffic information as input values and CPU clock levels as output values. According to an embodiment, the at least one communication processor may be configured to identify, based on the providing the workload information as the input to the AI model, a second CPU clock level as an output of the AI model. Various other embodiments may be possible.
