Research on the Application of High-Performance Electronic Devices in Computer Hardware Acceleration

This paper first designs a hardware acceleration algorithm based on high-performance electronic devices to optimize the processing efficiency of computationally intensive tasks. By designing a specific algorithm architecture and parallelization mode, the execution speed of computing tasks can be improved. In addition, this paper builds a simulation model to test the performance of the algorithm in practical applications. The simulation results show that compared with traditional methods, the computer hardware acceleration system using high-performance electronic devices can achieve significant acceleration effects. In terms of data analysis, the superiority of this design is further verified by accurately measuring and analyzing the acceleration ratio, energy efficiency, and processing time of different computing tasks. Specifically, the hardware acceleration system based on high-performance electronic devices shows an average acceleration effect of more than 30% in image processing and data analysis tasks, while saving 15% in energy consumption. This research shows that the integration of high-performance electronic devices not only greatly improves the performance of computing systems, but also provides a new reference for the future development of computer hardware acceleration technology.

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Publication Details

Published
2024-11-22
DOI
https://doi.org/10.1109/icdsca63855.2024.10859556
Primary Topic
Embedded Systems and FPGA Design
Type
article
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Research on the Application of High-Performance Electronic Devices in Computer Hardware Acceleration

Ruoyin Wang
Embedded Systems and FPGA Design
article

Research on the Application of High-Performance Electronic Devices in Computer Hardware Acceleration

Ruoyin Wang
article en

Abstract

This paper first designs a hardware acceleration algorithm based on high-performance electronic devices to optimize the processing efficiency of computationally intensive tasks. By designing a specific algorithm architecture and parallelization mode, the execution speed of computing tasks can be improved. In addition, this paper builds a simulation model to test the performance of the algorithm in practical applications. The simulation results show that compared with traditional methods, the computer hardware acceleration system using high-performance electronic devices can achieve significant acceleration effects. In terms of data analysis, the superiority of this design is further verified by accurately measuring and analyzing the acceleration ratio, energy efficiency, and processing time of different computing tasks. Specifically, the hardware acceleration system based on high-performance electronic devices shows an average acceleration effect of more than 30% in image processing and data analysis tasks, while saving 15% in energy consumption. This research shows that the integration of high-performance electronic devices not only greatly improves the performance of computing systems, but also provides a new reference for the future development of computer hardware acceleration technology.

University of Liverpool (GB)
Affordable and clean energy
Openalex Percentile: Top 67%
Embedded Systems and FPGA Design
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