Backboneanalysis: structured insights into compute platforms from CNN inference latency

FM Hafner, M Zeller, M Schutera… - 2022 IEEE Intelligent …, 2022 - ieeexplore.ieee.org
Customization of a convolutional neural network (CNN) to a specific compute platform
involves finding an optimal pareto state between computational complexity of the CNN and …
被引用次数：1 相关文章

BackboneAnalysis: Structured Insights into Compute Platforms from CNN Inference Latency

FM Hafner, M Zeller, M Schutera… - Proceedings of the …, 2022 - repository.tudelft.nl
Customization of a convolutional neural network (CNN) to a specific compute platform
involves finding an optimal pareto state between computational complexity of the CNN and …

BackboneAnalysis: Structured Insights into Compute Platforms from CNN Inference Latency

FM Hafner, M Zeller, M Schutera, J Abhau… - 2022 IEEE Intelligent …, 2022 - dl.acm.org
Customization of a convolutional neural network (CNN) to a specific compute platform
involves finding an optimal pareto state between computational complexity of the CNN and …
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[PDF][PDF] BackboneAnalysis: Structured Insights into Compute Platforms from CNN Inference Latency

FM Hafner, M Zeller, M Schutera, J Abhau, JFP Kooij - intelligent-vehicles.org
Customization of a convolutional neural network (CNN) to a specific compute platform
involves finding an optimal pareto state between computational complexity of the CNN and …

BackboneAnalysis: Structured Insights into Compute Platforms from CNN Inference Latency

FM Hafner, M Zeller, M Schutera… - 2022 IEEE Intelligent …, 2022 - research.tudelft.nl
Customization of a convolutional neural network (CNN) to a specific compute platform
involves finding an optimal pareto state between computational complexity of the CNN and …