Heat dissipation system and control method thereof

Abstract

The invention relates to the field of computer heat dissipation, and particularly discloses a heat dissipation system and a control method thereof. According to the method, a deep neural network model based on deep learning is adopted to mine an implicit association relationship among the working condition of a first CPU, the working power of a first heat dissipation device, the working condition of a second CPU and the working power of the second heat dissipation device, and feature extraction models corresponding to the CPUs is considered to need to be matched with one another; and according to the method, the deep neural network is trained by minimizing the distance between the feature vectors, so that feature extraction models which are matched with each other are obtained. In this way, the power value, obtained through regression, of the second heat dissipation device at the current time point can be more accurate.

Description

technical field [0001] The present application relates to the field of computer heat dissipation, and more specifically, to a heat dissipation system and a control method thereof. Background technique [0002] The CPU of a computer refers to the central processing unit, which is the computing unit and controller of the computer. The central processing unit mainly includes an arithmetic unit (ALU, Arithmetic Logic Unit), a controller, a cache memory (Cache), and a bus (Bus) for realizing data (Data), control, and status between them. It, together with internal memory (Memory) and input / output (I / O) devices, are collectively referred to as the three core components of an electronic computer. [0003] At present, some computer systems include two CPUs (such as servers, workstations, etc.), and system manufacturers need two air-cooled heat dissipation devices to meet the heat dissipation requirements of the two CPUs at the same time. [0004] However, because the system wind f...

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Problems solved by technology

[0004] However, because the system wind first passes through the first heat sink, it is preheated during the heat exchange with the first heat sink, thereby causing the temperature to rise. Not only that, but the wind speed is also greatly reduced due to the resistance of the heat dissipation fins. The system air temperature and wind speed of the second cooling device are worse than those entering the first cooling device, which will reduce the heat dissipation efficiency of the cooling device and cause the heat load of the second cooling device to be unbalanced in the cooling system

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