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Research on Software and Hardware Collaborative Design of Heterogeneous Fusion Processing Module Based on OpenVPX Standard
WEN Minhua, SHI Tianjie, TIAN Jing
JPRMG ›› 2024, Vol. 44 ›› Issue (3) : 103-108.
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Research on Software and Hardware Collaborative Design of Heterogeneous Fusion Processing Module Based on OpenVPX Standard
({{custom_author.role_en}}), {{javascript:window.custom_author_en_index++;}}With the continuous progress of computer hardware and software technology, the task functions integrated in the airborne computing platform are increasing day by day, resulting in the scale and complexity of the internal computing needs of the platform. In the face of the rapid growth of intelligent applications, the traditional single processor architecture is no longer enough to cope with a variety of complex tasks. Therefore, based on the OpenVPX standard, this study defines and designs a 3U heterogeneous fusion processing module that conforms to the hardware open architecture to meet the needs of a variety of complex tasks. This research also proposes a heterogeneous computing resource pooling technology, which aims to achieve rapid deployment and efficient operation of multi-type task applications, while reducing communication latency, and significantly improving the processing power and applicability of computing platforms. Experimental verification shows that, compared with multi-CPU architecture, the processing time of the heterogeneous fusion processing module designed in this paper is about 4.8 times shorter when executing specific neural network algorithms, which proves that its performance is significantly improved. The results of this study not only demonstrate the significant performance advantages of heterogeneous fusion processing modules in airborne intelligent computing applications, but also provide innovative solutions and technical support for the future development of aviation computing platforms.
airborne computing platform / OpenVPX / hardware open architecture / heterogeneous fusion processing / resource pooling {{custom_keyword}} /
Table 1 Performance comparison between heterogeneous fusion processing system and multi cpu processing system in airborne intelligent computing applications表1 机载智能计算应用下异构融合处理原型与多CPU处理原型系统性能对比 |
| Segment run delay/ms | Total delay (including transfer)/ms | Total power consumption/W | |||
|---|---|---|---|---|---|
| Multi-source data fusion part | Target recognition part | Autonomous decision part | |||
| Heterogeneous fusion Processing prototype | 40.9 | 986.7 | 106.8 | 1 354.2 | 59.4 |
| Multi-CPU Processing prototype | 41.2 | 5 436.8 | 867.4 | 6 545.5 | 63.7 |
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Fig.1 Hardware architecture diagram of the heterogeneous fusion processing moduleFig.2 Comparison of virtual machine and container computing resource virtualization architecturesFig.3 Heterogeneous processing resource operation and management frameworksFig.4 Heterogeneous processing resource management architecture diagram
Table 1 Performance comparison between heterogeneous fusion processing system and multi cpu processing system in airborne intelligent computing applications/
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