Koen Goetschalckx

According to our database, Koen Goetschalckx authored at least 9 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

11.3 Metis AIPU: A 12nm 15TOPS/W 209.6TOPS SoC for Cost- and Energy-Efficient Inference at the Edge.

Pascal Alexander Hager, Bert Moons, Stefan Cosemans, Ioannis A. Papistas, Bram Rooseleer, Jeroen Van Loon, Roel Uytterhoeven, Florian Zaruba, Spyridoula Koumousi, Milos Stanisavljevic, Stefan Mach, Sebastiaan Mutsaards, Riduan Khaddam Aljameh, Gua Hao Khov, Brecht Machiels, Cristian Olar, Anastasios Psarras, Sander Geursen, Jeroen Vermeeren, Yi Lu, Abhishek Maringanti, Deepak Ameta, Leonidas Katselas, Noah Hütter, Manuel Schmuck, Swetha Sivadas, Karishma Sharma, Manuel Oliveira, Ramon Aerne, Nitish Sharma, Timir Soni, Beatrice Bussolino, Djordje Pesut, Michele Pallaro, Andrei Podlesnii, Alexios Lyrakis, Yannick Ruffiner, Martino Dazzi, Johannes Thiele, Koen Goetschalckx, Nazareno Bruschi, Jonas Doevenspeck, Bram Verhoef, Stefan Linz, Giuseppe Garcea, Jonathan Ferguson, Ioannis Koltsidas, Evangelos Eleftheriou

Proceedings of the IEEE International Solid-State Circuits Conference, 2024

2023

DepFiN: A 12-nm Depth-First, High-Resolution CNN Processor for IO-Efficient Inference.

Koen Goetschalckx, Fengfeng Wu, Marian Verhelst

IEEE J. Solid State Circuits, May, 2023

DeFiNES: Enabling Fast Exploration of the Depth-first Scheduling Space for DNN Accelerators through Analytical Modeling.

Linyan Mei, Koen Goetschalckx, Arne Symons, Marian Verhelst

Proceedings of the IEEE International Symposium on High-Performance Computer Architecture, 2023

2022

DeFiNES: A DSE Framework Enabling Fast Exploration of the Depth-first Scheduling Space for DNN Accelerators.

Linyan Mei, Koen Goetschalckx, Arne Symons, Marian Verhelst

Dataset, November, 2022

2021

DepFiN: A 12nm, 3.8TOPs depth-first CNN processor for high res. image processing.

Koen Goetschalckx, Marian Verhelst

Proceedings of the 2021 Symposium on VLSI Circuits, Kyoto, Japan, June 13-19, 2021, 2021

2019

Breaking High-Resolution CNN Bandwidth Barriers With Enhanced Depth-First Execution.

Koen Goetschalckx, Marian Verhelst

IEEE J. Emerg. Sel. Topics Circuits Syst., 2019

2018

Optimized Hierarchical Cascaded Processing.

Koen Goetschalckx, Bert Moons, Steven Lauwereins, Martin Andraud, Marian Verhelst

IEEE J. Emerg. Sel. Topics Circuits Syst., 2018

Efficiently Combining SVD, Pruning, Clustering and Retraining for Enhanced Neural Network Compression.

Koen Goetschalckx, Bert Moons, Patrick Wambacq, Marian Verhelst

Proceedings of the 2nd International Workshop on Embedded and Mobile Deep Learning, 2018

2017

Minimum energy quantized neural networks.

Bert Moons, Koen Goetschalckx, Nick Van Berckelaer, Marian Verhelst

Proceedings of the 51st Asilomar Conference on Signals, Systems, and Computers, 2017