Koen Goetschalckx
Koen Goetschalckx
System architect, Axelera AI
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Cited by
Cited by
Minimum energy quantized neural networks
B Moons, K Goetschalckx, N Van Berckelaer, M Verhelst
2017 51st Asilomar Conference on Signals, Systems, and Computers, 1921-1925, 2018
Breaking High-Resolution CNN Bandwidth Barriers With Enhanced Depth-First Execution
K Goetschalckx, M Verhelst
IEEE Journal on Emerging and Selected Topics in Circuits and Systems 9 (2 …, 2019
DepFiN: A 12nm, 3.8 TOPs depth-first CNN processor for high res. image processing
K Goetschalckx, M Verhelst
2021 Symposium on VLSI Circuits, 1-2, 2021
Optimized hierarchical cascaded processing
K Goetschalckx, B Moons, S Lauwereins, M Andraud, M Verhelst
IEEE Journal on Emerging and Selected Topics in Circuits and Systems 8 (4 …, 2018
Efficiently combining svd, pruning, clustering and retraining for enhanced neural network compression
K Goetschalckx, B Moons, P Wambacq, M Verhelst
Proceedings of the 2nd International Workshop on Embedded and Mobile Deep …, 2018
DeFiNES: Enabling Fast Exploration of the Depth-first Scheduling Space for DNN Accelerators through Analytical Modeling
L Mei, K Goetschalckx, A Symons, M Verhelst
2023 IEEE International Symposium on High-Performance Computer Architecture …, 2023
DepFiN: A 12-nm Depth-First, High-Resolution CNN Processor for IO-Efficient Inference
K Goetschalckx, F Wu, M Verhelst
IEEE Journal of Solid-State Circuits 58 (5), 1425-1435, 2022
11.3 Metis AIPU: A 12nm 15TOPS/W 209.6 TOPS SoC for Cost-and Energy-Efficient Inference at the Edge
PA Hager, B Moons, S Cosemans, IA Papistas, B Rooseleer, J Van Loon, ...
2024 IEEE International Solid-State Circuits Conference (ISSCC) 67, 212-214, 2024
Optimizing Embedded Vision Efficiency across the Hardware-dataflow-algorithm Stack
K Goetschalckx
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