Memory-centric accelerator design for convolutional neural networks M Peemen, AAA Setio, B Mesman, H Corporaal 2013 IEEE 31st international conference on computer design (ICCD), 13-19, 2013 | 489 | 2013 |
Dualsr: Zero-shot dual learning for real-world super-resolution M Emad, M Peemen, H Corporaal Proceedings of the IEEE/CVF winter conference on applications of computer …, 2021 | 66 | 2021 |
Speed sign detection and recognition by convolutional neural networks M Peemen, B Mesman, H Corporaal Proceedings of the 8th international automotive congress, 162-170, 2011 | 56 | 2011 |
Very-high dynamic range, 10,000 frames/second pixel array detector for electron microscopy HT Philipp, MW Tate, KS Shanks, L Mele, M Peemen, P Dona, R Hartong, ... Microscopy and Microanalysis 28 (2), 425-440, 2022 | 47 | 2022 |
Inter-tile reuse optimization applied to bandwidth constrained embedded accelerators M Peemen, B Mesman, H Corporaal 2015 Design, Automation & Test in Europe Conference & Exhibition (DATE), 169-174, 2015 | 42 | 2015 |
Efficiency optimization of trainable feature extractors for a consumer platform M Peemen, B Mesman, H Corporaal Advanced Concepts for Intelligent Vision Systems: 13th International …, 2011 | 34 | 2011 |
How should a fixed budget of dwell time be spent in scanning electron microscopy to optimize image quality? P Trampert, F Bourghorbel, P Potocek, M Peemen, C Schlinkmann, ... Ultramicroscopy 191, 11-17, 2018 | 33 | 2018 |
ConvFusion: A model for layer fusion in convolutional neural networks L Waeijen, S Sioutas, M Peemen, M Lindwer, H Corporaal IEEE Access 9, 168245-168267, 2021 | 31 | 2021 |
The neuro vector engine: Flexibility to improve convolutional net efficiency for wearable vision M Peemen, R Shi, S Lal, B Juurlink, B Mesman, H Corporaal 2016 Design, Automation & Test in Europe Conference & Exhibition (DATE …, 2016 | 23 | 2016 |
MoESR: blind super-resolution using kernel-aware mixture of experts M Emad, M Peemen, H Corporaal Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2022 | 20 | 2022 |
A configurable SIMD architecture with explicit datapath for intelligent learning Y He, M Peemen, L Waeijen, E Diken, M Fiumara, G Rauwerda, ... 2016 International Conference on Embedded Computer Systems: Architectures …, 2016 | 15 | 2016 |
AivoTTA: An energy efficient programmable accelerator for CNN-based object recognition J IJzerman, T Viitanen, P Jääskeläinen, H Kultala, L Lehtonen, M Peemen, ... Proceedings of the 18th International Conference on Embedded Computer …, 2018 | 11 | 2018 |
Demystifying the 16× 16 thread‐block for stencils on the GPU S Tabik, M Peemen, N Guil, H Corporaal Concurrency and Computation: Practice and Experience 27 (18), 5557-5573, 2015 | 11 | 2015 |
A locality aware convolutional neural networks accelerator R Shi, Z Xu, Z Sun, M Peemen, A Li, H Corporaal, D Wu 2015 Euromicro Conference on Digital System Design, 591-598, 2015 | 11 | 2015 |
MacSim: a MAC-enabled high-performance low-power SIMD architecture T Geng, L Waeijen, M Peemen, H Corporaal, Y He 2016 Euromicro Conference on Digital System Design (DSD), 160-167, 2016 | 10 | 2016 |
Sparse scanning electron microscopy data acquisition and deep neural networks for automated segmentation in connectomics P Potocek, P Trampert, M Peemen, R Schoenmakers, T Dahmen Microscopy and Microanalysis 26 (3), 403-412, 2020 | 8 | 2020 |
A tuning approach for iterative multiple 3d stencil pipeline on GPUs: Anisotropic Nonlinear Diffusion algorithm as case study S Tabik, M Peemen, LF Romero The Journal of Supercomputing 74 (4), 1580-1608, 2018 | 7 | 2018 |
Improving the efficiency of deep convolutional networks MCJ Peemen | 5 | 2017 |
Wide dynamic range, 10 kHz framing detector for 4D-STEM H Philipp, M Tate, K Shanks, L Mele, M Peemen, P Dona, R Hartong, ... Microscopy and Microanalysis 27 (S1), 992-993, 2021 | 4 | 2021 |
A data-reuse aware accelerator for large-scale convolutional networks MCJ Peemen, B Mesman, H Corporaal Workshop on Neuromorphic Architectures (NeuroArch), 14 June 2014 …, 2014 | 4 | 2014 |