面临 发表于 2025-3-21 20:01:50

书目名称Early Soft Error Reliability Assessment of Convolutional Neural Networks Executing on Resource-Const影响因子(影响力)<br>        http://impactfactor.cn/if/?ISSN=BK0300808<br><br>        <br><br>书目名称Early Soft Error Reliability Assessment of Convolutional Neural Networks Executing on Resource-Const影响因子(影响力)学科排名<br>        http://impactfactor.cn/ifr/?ISSN=BK0300808<br><br>        <br><br>书目名称Early Soft Error Reliability Assessment of Convolutional Neural Networks Executing on Resource-Const网络公开度<br>        http://impactfactor.cn/at/?ISSN=BK0300808<br><br>        <br><br>书目名称Early Soft Error Reliability Assessment of Convolutional Neural Networks Executing on Resource-Const网络公开度学科排名<br>        http://impactfactor.cn/atr/?ISSN=BK0300808<br><br>        <br><br>书目名称Early Soft Error Reliability Assessment of Convolutional Neural Networks Executing on Resource-Const被引频次<br>        http://impactfactor.cn/tc/?ISSN=BK0300808<br><br>        <br><br>书目名称Early Soft Error Reliability Assessment of Convolutional Neural Networks Executing on Resource-Const被引频次学科排名<br>        http://impactfactor.cn/tcr/?ISSN=BK0300808<br><br>        <br><br>书目名称Early Soft Error Reliability Assessment of Convolutional Neural Networks Executing on Resource-Const年度引用<br>        http://impactfactor.cn/ii/?ISSN=BK0300808<br><br>        <br><br>书目名称Early Soft Error Reliability Assessment of Convolutional Neural Networks Executing on Resource-Const年度引用学科排名<br>        http://impactfactor.cn/iir/?ISSN=BK0300808<br><br>        <br><br>书目名称Early Soft Error Reliability Assessment of Convolutional Neural Networks Executing on Resource-Const读者反馈<br>        http://impactfactor.cn/5y/?ISSN=BK0300808<br><br>        <br><br>书目名称Early Soft Error Reliability Assessment of Convolutional Neural Networks Executing on Resource-Const读者反馈学科排名<br>        http://impactfactor.cn/5yr/?ISSN=BK0300808<br><br>        <br><br>

refine 发表于 2025-3-21 20:43:25

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船员 发表于 2025-3-22 04:09:57

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Orgasm 发表于 2025-3-22 05:27:43

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exquisite 发表于 2025-3-22 11:02:18

,Conclusions and Future Work,ot affect the consistency of soft error assessment. Regarding cross-compilers, those based on LLVM appeared to be more reliable ones, with the best compiler set being the . using the . optimization flag.

元音 发表于 2025-3-22 16:51:33

Book 2023e than 14.8 million fault injections, considering different precision bit-width configurations, optimization parameters, and processor models. The authors also evaluate the relative performance, memory utilization, and soft error reliability trade-offs analysis of different CNN models considering a

元音 发表于 2025-3-22 20:47:33

Early Soft Error Consistency Assessment,ware stacks running at single-core resource-constrained architectures. As mentioned before, the soft error results’ consistency regarding multi-core architectures are presented in [.] which is separate from this book as they were generated by [.].

Lobotomy 发表于 2025-3-22 21:33:34

Book 2023hors also evaluate the relative performance, memory utilization, and soft error reliability trade-offs analysis of different CNN models considering a compiler-based technique w.r.t. traditional redundancy approaches..

晚来的提名 发表于 2025-3-23 03:19:55

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excrete 发表于 2025-3-23 08:40:06

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查看完整版本: Titlebook: Early Soft Error Reliability Assessment of Convolutional Neural Networks Executing on Resource-Const; Geancarlo Abich,Luciano Ost,Ricardo