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Fuzzy control energy-saving method based on GPU (Graphics Processing Unit) data packet classification

A technology of fuzzy control and data packets, applied in energy-saving computing, program control design, data processing power supply, etc.

Inactive Publication Date: 2017-02-22
HUNAN UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, people found that with the continuous improvement of computing performance, the problem of power consumption is also becoming more and more prominent, which leads to the problem of energy consumption wall

Method used

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  • Fuzzy control energy-saving method based on GPU (Graphics Processing Unit) data packet classification
  • Fuzzy control energy-saving method based on GPU (Graphics Processing Unit) data packet classification
  • Fuzzy control energy-saving method based on GPU (Graphics Processing Unit) data packet classification

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Experimental program
Comparison scheme
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Embodiment Construction

[0035] refer to figure 1 , the present invention comprises the following steps:

[0036] Step 1, start the GPU-based packet classification task, and initialize the running parameters. The computing mode of the GPU is set to the default mode; for the Tesla K20GPU, the initial operating frequency is set to the system default value.

[0037] Step 2, using fuzzy rules to adjust GPU operating parameters. Among them, the fuzzy rules are derived from formulas verified from experiments.

[0038] Step 3, use the GPU platform to accelerate packet classification.

[0039] Step 4, monitor various operating parameters of the GPU. During the acceleration process, real-time monitoring and recording of GPU operating status parameters, power, temperature, etc.

[0040] Step 5, statistically detect whether the optimization of high performance and low power consumption is realized. Make statistics on monitoring parameters and compare the optimization degree of system performance and power ...

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Abstract

The invention discloses a fuzzy control energy-saving method based on GPU (Graphics Processing Unit) data packet classification. The method comprises the steps of designing a fuzzy control energy-saving model based on a GPU and defining a fuzzy rule; setting GPU initial operation parameters for a data packet classification task; monitoring operation power consumption and a throughput performance index state of the GPU; and continuously carrying out fuzzy adjustment control by employing the fuzzy control energy-saving model based on the GPU, thereby achieving an energy-saving effect. The invention provides the fuzzy control method which is designed according to a variable frequency air conditioner energy-saving principle. When the GPU operates the task, the balance problem between high performance and low energy consumption can be taken into consideration, and the method has important practical application value. The high-performance and low-energy-consumption fuzzy control model for carrying out the packet classification based on the GPU is provided in the field of data packet classification, and the method has important application value for a network device to realize green calculation.

Description

technical field [0001] The invention relates to the field of energy saving for GPU applications, in particular to a fuzzy control energy saving method based on GPU data packet classification. Background technique [0002] Network packet classification means that routers forward packets to corresponding ports. At present, the most widely used packet classification technology is based on the TCAM (Ternary Content Addressable Memory) hardware platform. Although the platform has high performance, it has the problems of high power consumption and high price. In recent years, packet classification technologies based on FPGA (Field-Programmable Gate Array), NPU (Network Processing Unit), GPU (Graphics Processing Unit) and other hardware platforms have also been continuously developed. Among them, the GPU-based packet classification technology has good scientific research and practical application value because of its good programmability, scalability, strong versatility, and vario...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F1/32G06F9/50
CPCG06F1/329G06F9/5044Y02D10/00
Inventor 张大方李果李彦彪郑锦涛李克勤
Owner HUNAN UNIV