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CPU energy efficiency model optimization method and device

An optimization method and CPU temperature technology, applied in the computer field, can solve problems such as misjudgment, accuracy problems, and CPU power consumption increase, and achieve the effect of ensuring accuracy, reducing overall power consumption, and calculating accurate

Pending Publication Date: 2022-04-12
BEIJING SPREADTRUM HI TECH COMM TECH CO LTD
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

However, the existing power consumption calculation schemes have accuracy problems, which are prone to misjudgments, resulting in increased CPU power consumption

Method used

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  • CPU energy efficiency model optimization method and device
  • CPU energy efficiency model optimization method and device
  • CPU energy efficiency model optimization method and device

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Embodiment Construction

[0032] In order to make the above-mentioned purposes, features and beneficial effects of the present application more obvious and understandable, specific embodiments of the present application will be described in detail below in conjunction with the accompanying drawings.

[0033] The CPU is mainly composed of CMOS (Complementary Metal Oxide Semiconductor, Complementary Metal Oxide Semiconductor) circuits, and the power consumption of CMOS circuits is mainly composed of dynamic power consumption and static power consumption, where the dynamic power consumption is p_dynamic=C×F×V ∧ 2, where C is a coefficient (constant) related to the CPU architecture, F is the operating frequency of the CPU (central processing unit, central processing unit), and V is the operating voltage of the CPU at this frequency. Static power consumption is P_leakage=V×e ∧ aT, where a is a constant, and T is the temperature of the CPU. It can be seen that the dynamic power consumption is directly relat...

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Abstract

The invention provides a CPU energy efficiency model optimization method and device, and the method comprises the steps: recalculating the static power consumption of each frequency point of a CPU at the current temperature after the temperature of the CPU changes; and updating an energy efficiency model according to the static power consumption. By means of the scheme, the CPU power consumption can be accurately predicted, and the accuracy of the energy efficiency model is guaranteed.

Description

technical field [0001] The application relates to the field of computer technology, in particular to a CPU energy efficiency model optimization method and device. Background technique [0002] The big.Little architecture is a low-power design architecture that combines the highest performance CPU with the most efficient CPU into a processor subsystem designed to assign the right processor to the right task. EAS (Energy Aware Scheduling, Energy Aware Scheduling) is a scheduling algorithm for the big.Little architecture, which relies on the CPU's energy efficiency model to select a power-saving CPU core for each task, while requiring minimal impact on the throughput of the execution task . The core of the EAS scheduling algorithm is to select a CPU core with lower power consumption among the candidate CPU cores (cores) for the task while ensuring the performance. At this time, it is necessary to calculate the candidate CPU for the task according to the energy efficiency model...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F1/3293G06F11/30
Inventor 王争
Owner BEIJING SPREADTRUM HI TECH COMM TECH CO LTD