Research on Heterogeneous Computing Technology Based on Domestic CPUs and Reconfigurable Chips

In view of the performance and security problems existing after the replacement of specialized security protection equipment for power grids with domestic software and hardware, and in response to the security protection requirements of different application scenarios, the research on heterogeneous fusion computing technology based on domestic CPUs and reconfigurable chips is proposed. The optimal mapping of national secret algorithms, isolation exchange, protocol processing, and data analysis on reconfigurable chips is realized, supporting the parallel computing of special processors for scene acceleration and domestic CPUs, and meeting the requirements of different network security analysis and computing scenarios in the power system.

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Publication Details

Published
2024-12-06
DOI
https://doi.org/10.1109/icips64173.2024.10899908
Primary Topic
Parallel Computing and Optimization Techniques
Type
article
Field-Weighted Citation Impact
0.00

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article

Research on Heterogeneous Computing Technology Based on Domestic CPUs and Reconfigurable Chips

Xiaojuan Guan, Cheng Zhou, Sheng Zhu, Chen Wang
Parallel Computing and Optimization Techniques
article

Research on Heterogeneous Computing Technology Based on Domestic CPUs and Reconfigurable Chips

Xiaojuan Guan, Cheng Zhou, Sheng Zhu, Chen Wang
article en

Abstract

In view of the performance and security problems existing after the replacement of specialized security protection equipment for power grids with domestic software and hardware, and in response to the security protection requirements of different application scenarios, the research on heterogeneous fusion computing technology based on domestic CPUs and reconfigurable chips is proposed. The optimal mapping of national secret algorithms, isolation exchange, protocol processing, and data analysis on reconfigurable chips is realized, supporting the parallel computing of special processors for scene acceleration and domestic CPUs, and meeting the requirements of different network security analysis and computing scenarios in the power system.

Science and Technology Project of State Grid
Openalex Percentile: Top 69%
Parallel Computing and Optimization Techniques
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