Christopher A. Metz

PhD thesis, 2024

Determining the Effect of Feedback Quality on User Engagement on Online Idea Crowdsourcing Platforms Using an AI model.

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[DOI]

Proc. ACM Hum. Comput. Interact., 2024

2023

Machine Learning aided Computer Architecture Design for CNN Inferencing Systems.

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[DOI]

CoRR, 2023

Classifying Crowdsouring Platform Users' Engagement Behaviour using Machine Learning and XAI.

[BibT_eX]

[DOI]

Proceedings of the Mensch und Computer 2023, 2023

Fast and Accurate: Machine Learning Techniques for Performance Estimation of CNNs for GPGPUs.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2023

Hybrid PTX Analysis for GPU accelerated CNN inferencing aiding Computer Architecture Design.

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[DOI]

Proceedings of the Forum on Specification & Design Languages, 2023

2022

Towards Neural Hardware Search: Power Estimation of CNNs for GPGPUs with Dynamic Frequency Scaling.

[BibT_eX]

[DOI]

Proceedings of the 2022 ACM/IEEE Workshop on Machine Learning for CAD, 2022

ML-based Power Estimation of Convolutional Neural Networks on GPGPUs.

[BibT_eX]

[DOI]

Proceedings of the 25th International Symposium on Design and Diagnostics of Electronic Circuits and Systems, 2022

2021

Pick the Right Edge Device: Towards Power and Performance Estimation of CUDA-based CNNs on GPGPUs.

[BibT_eX]

[DOI]

CoRR, 2021

Early power estimation of CUDA-based CNNs on GPGPUs: work-in-progress.

[BibT_eX]

[DOI]