26805

The Application of AI Technology in GPU Scheduling Algorithm Optimization

Zhancai Yan, Yaqiu Liu, Hongrun Shao
The College of Information and Computer Engineering, Northeast Forestry University, 150000 Harbin, China
Wireless Communications and Mobile Computing, 2022

@article{yan2022application,

   title={The Application of AI Technology in GPU Scheduling Algorithm Optimization},

   author={Yan, Zhancai and Liu, Yaqiu and Shao, Hongrun},

   journal={Wireless Communications and Mobile Computing},

   volume={2022},

   year={2022},

   publisher={Hindawi}

}

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With the rapid development of integrated circuit technology, GPU computing capabilities continue to improve. Due to the continuous improvement and improvement of GPU programming capabilities, functions, and performance, GPUs have been widely used in the field of high-tech general-purpose computers. This article is aimed at studying the optimization of GPU scheduling algorithm based on AI technology. Through a combination of theoretical analysis and simulation experiments, the concepts of artificial intelligence technology and GPU scheduling are explained, and the impact of GPU architecture and GPGPU load on the energy efficiency of GPGPU is explained. On the basis of comprehensive analysis of GPU cluster characteristics, a new GA-TP scheduling algorithm based on genetic algorithm was designed, and based on the energy efficiency of the cluster, a simulation verification platform was built for the accuracy of simulation. Experimental results show that the acceleration rate of the GA-TP algorithm is significantly lower than that of the HEFT algorithm, the average acceleration rate is reduced by nearly 25%, and the scheduling efficiency of the GA-TP algorithm is higher.
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