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Koen Goetschalckx
Koen Goetschalckx
System architect, Axelera AI
Bestätigte E-Mail-Adresse bei kuleuven.be
Titel
Zitiert von
Zitiert von
Jahr
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
1502018
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
512019
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
322021
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
302018
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
192018
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
82023
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
42022
Optimizing Embedded Vision Efficiency across the Hardware-dataflow-algorithm Stack
K Goetschalckx
2023
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