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Open AccessArticle
Evaluation of Single Event Effect on RK3588 Neural Processing Unit Using Spallation Neutron Irradiation and Software Fault Injection
by
Weitao Yang
Weitao Yang 1,2,*,
Wuqing Song
Wuqing Song 2,
Huan He
Huan He 3,
Zhiliang Hu
Zhiliang Hu 4
and
Yonghong Li
Yonghong Li 3,*
1
CNNC Xi’an Nuclear Instrument Co., Ltd., Xi’an 710041, China
2
School of Microelectronics, Xidian University, Xi’an 710071, China
3
School of Nuclear Science and Technology, Xi’an Jiaotong University, Xi’an 710049, China
4
Spallation Neutron Source Science Center, Dongguan 523803, China
*
Authors to whom correspondence should be addressed.
Appl. Syst. Innov. 2026, 9(6), 126; https://doi.org/10.3390/asi9060126 (registering DOI)
Submission received: 12 May 2026
/
Revised: 2 June 2026
/
Accepted: 5 June 2026
/
Published: 12 June 2026
Abstract
This research investigates atmospheric neutron-induced single event effects (SEEs) on advanced artificial intelligence (AI) chips during natural environment operation. The RK3588 neural processing unit (NPU) is the evaluated target chip, and its SEE is assessed through a combination of irradiation testing and software fault injection. During the irradiation test, the chip was exposed to a spectrum neutron at the China Spallation Neutron Source. Upon reaching a cumulative fluence of 8.25 × 109 n·cm2, a total of 14,018 soft errors were detected, of which 99.97% manifested as variations in target recognition accuracy and network inference latency. Among these variations, both detrimental effects (reduced target recognition accuracy or prolonged network inference time) and beneficial effects (enhanced target recognition accuracy or shortened network inference time) caused by single event effects were observed. In addition, atmospheric neutron single event effects were found to cause NPU operation suspension and system crashes. Based on the irradiation test results, failure predictions for neural processing units in real-world environments were estimated, and mitigation recommendations were proposed. Furthermore, software fault injections were employed to conduct in-depth analysis of detected soft errors during irradiation testing. This research provides support and references for the reliable application of artificial intelligence chips in natural environments.
Share and Cite
MDPI and ACS Style
Yang, W.; Song, W.; He, H.; Hu, Z.; Li, Y.
Evaluation of Single Event Effect on RK3588 Neural Processing Unit Using Spallation Neutron Irradiation and Software Fault Injection. Appl. Syst. Innov. 2026, 9, 126.
https://doi.org/10.3390/asi9060126
AMA Style
Yang W, Song W, He H, Hu Z, Li Y.
Evaluation of Single Event Effect on RK3588 Neural Processing Unit Using Spallation Neutron Irradiation and Software Fault Injection. Applied System Innovation. 2026; 9(6):126.
https://doi.org/10.3390/asi9060126
Chicago/Turabian Style
Yang, Weitao, Wuqing Song, Huan He, Zhiliang Hu, and Yonghong Li.
2026. "Evaluation of Single Event Effect on RK3588 Neural Processing Unit Using Spallation Neutron Irradiation and Software Fault Injection" Applied System Innovation 9, no. 6: 126.
https://doi.org/10.3390/asi9060126
APA Style
Yang, W., Song, W., He, H., Hu, Z., & Li, Y.
(2026). Evaluation of Single Event Effect on RK3588 Neural Processing Unit Using Spallation Neutron Irradiation and Software Fault Injection. Applied System Innovation, 9(6), 126.
https://doi.org/10.3390/asi9060126
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