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2020 – today
- 2024
[j2]Floris-Jan Willemsen
, Richard Schoonhoven, Jiri Filipovic, Jacob O. Tørring, Rob van Nieuwpoort, Ben van Werkhoven:
A methodology for comparing optimization algorithms for auto-tuning. Future Gener. Comput. Syst. 159: 489-504 (2024)- [i4]Wangduo Xie, Richard Schoonhoven, Tristan van Leeuwen, Matthew B. Blaschko:
AC-IND: Sparse CT reconstruction based on attenuation coefficient estimation and implicit neural distribution. CoRR abs/2409.07171 (2024) - 2023
- [j1]Richard Arnoud Schoonhoven, Ben van Werkhoven, Kees Joost Batenburg:
Benchmarking Optimization Algorithms for Auto-Tuning GPU Kernels. IEEE Trans. Evol. Comput. 27(3): 550-564 (2023) - 2022
- [c2]Richard Schoonhoven, Bram Veenboer, Ben van Werkhoven, Kees Joost Batenburg:
Going green: optimizing GPUs for energy efficiency through model-steered auto-tuning. PMBS@SC 2022: 48-59 - [i3]Richard Schoonhoven, Ben van Werkhoven, Kees Joost Batenburg:
Benchmarking optimization algorithms for auto-tuning GPU kernels. CoRR abs/2210.01465 (2022) - [i2]Richard Schoonhoven, Bram Veenboer, Ben van Werkhoven, Kees Joost Batenburg:
Going green: optimizing GPUs for energy efficiency through model-steered auto-tuning. CoRR abs/2211.07260 (2022) - 2020
- [c1]Richard Schoonhoven, Jan-Willem Buurlage, Daniël Maria Pelt, Kees Joost Batenburg:
Real-time segmentation for tomographic imaging. MLSP 2020: 1-6 - [i1]Richard Schoonhoven, Allard A. Hendriksen, Daniël Maria Pelt, Kees Joost Batenburg:
LEAN: graph-based pruning for convolutional neural networks by extracting longest chains. CoRR abs/2011.06923 (2020)
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