Journal of information and communication convergence engineering

The Korea Institute of Information and Commucation Engineering (한국정보통신학회)
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Performance Improvement of Web Service Based on GPGPU and Task Queue

  • Kim, Changsu (Department of Computer Engineering, PaiChai University) ;
  • Kim, Kyunghwan (Department of Computer Engineering, PaiChai University) ;
  • Jung, Hoekyung (Department of Computer Engineering, PaiChai University)
  • Received : 2021.07.22
  • Accepted : 2021.09.03
  • Published : 2021.12.31
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Abstract

Providing web services to users has become expensive in recent times. For better web services, a web server is provided with high-performance technology. To achieve great web service experiences, tools such as general-purpose graphics processing units (GPGPUs), artificial intelligence, high-performance computing, and three-dimensional simulation are widely used. However, graphics processing units (GPUs) are used in high-speed operations and have limited general applications. In this study, we developed a task queue in a GPU to improve the performance of a web service using a multiprocessor and studied how to receive and process user requests in bulk. We propose the use of a GPGPU-based task queue to process user requests more than GPGPU based a central processing unit thread, and to process more GPU threads on task queue at about 136% to 233%, and proved that the proposed method is effective for web service.

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References

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