察觉
发表于 2025-3-25 06:59:35
Geancarlo Abich,Luciano Ost,Ricardo ReisDescribes a virtual platform framework (i.e., SOFIA) to conduct soft error reliability assessment of CNN software.Uses novel fault injection techniques to assess the impact of CNN models running in re
事先无准备
发表于 2025-3-25 09:54:26
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小丑
发表于 2025-3-25 14:02:39
https://doi.org/10.1007/978-3-031-18599-1software reliability; soft error analysis; Fault Injection; Machine Learning Applied to Soft Error Asse
担心
发表于 2025-3-25 15:53:38
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aviator
发表于 2025-3-25 20:46:47
Background in ML Models and Radiation Effects,s. First, Sect. 2.1 presents a background in ML models and the challenges to enable the execution of such models in IoT edge devices. Further, Sect. 2.2 addresses the basic concepts regarding radiation-induced errors and their impact on electronic computing system devices.
clarify
发表于 2025-3-26 02:18:10
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离开可分裂
发表于 2025-3-26 07:33:21
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Fortify
发表于 2025-3-26 11:48:11
Early Soft Error Reliability Assessment of Convolutional Neural Networks Executing on Resource-Const978-3-031-18599-1Series ISSN 2690-0300 Series E-ISSN 2690-0327
构想
发表于 2025-3-26 15:52:31
https://doi.org/10.1007/978-3-322-97014-5s. First, Sect. 2.1 presents a background in ML models and the challenges to enable the execution of such models in IoT edge devices. Further, Sect. 2.2 addresses the basic concepts regarding radiation-induced errors and their impact on electronic computing system devices.
食草
发表于 2025-3-26 19:53:12
Peter Bruhns,Hands-Georg Glasemann multi-core systems (Sect. .). In this sense, each fault injection module is detailed to show its usefulness, that is, RTL (Sect. .), gem5 (Sect. .), and Open Virtual Platform Simulator (OVPsim) (Sect. .).