Load balancing method based on task distribution of multicore system

A multi-core system and task allocation technology, applied in the field of computer multi-core, to achieve the effects of high throughput, high computational complexity, and high throughput
CN102681902AInactive Publication Date: 2012-09-19ZHEJIANG UNIV

Patent Information

Authority / Receiving Office
CN · China
Current Assignee / Owner
ZHEJIANG UNIV
Publication Date
2012-09-19
Estimated Expiration
Not applicable · inactive patent

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Abstract

The invention discloses a load balancing method based on task distribution of a multicore system. The method comprises the following steps of: acquiring the operand of task, and sequencing the tasks according to a flow; (2) dynamically monitoring the load rate of each processing unit, and pre-distributing the tasks; and (3) partitioning the tasks in a balanced way according to the load rate. In the method, load balancing of the multi-core system is realized by dynamically monitoring the load rate of each processing unit in real time, so that dynamic task rearrangement can be realized rapidly in a complex environment having the characteristics of multiple tasks, high throughput, high calculation complexity and large-scale parallel operation, reasonable distribution of system resources is realized, and the heating quantity of the entire system is controlled effectively through load balance of processing units on each level.
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Description

technical field

[0001] The invention belongs to the field of computer multi-core technology, and in particular relates to a load balancing method based on multi-core system task distribution. Background technique

[0002] Today, with the rapid development of information technology, artificial intelligence technology and distributed parallel computing technology, high-performance data processing systems have been widely used in many fields such as telecommunications, finance, industry and medical treatment. The future will be an efficient digital society, where the amount of information, computation, and complexity are rapidly expanding. A large amount of information such as voice, data, and images requires high-speed real-time perception and processing by computers.

[0003] Over the years, the improvement of processor performance has mainly relied on the increase of operating frequency. However, due to the influence of factors such as power consumption and heat generation, ...

Claims

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