[KSCI] Korea Science Citation Index Service

http://dx.doi.org/10.6109/jicce.2021.19.4.257

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)

Publication Information

Journal of information and communication convergence engineering / v.19, no.4, 2021 , pp. 257-262 More about this Journal

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.

Keywords

CUDA; GPGPU; GPU; Task queue; Web service;

Citations & Related Records

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