Jonas Doevenspeck

According to our database, Jonas Doevenspeck authored at least 7 papers between 2018 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

2022

Dynamic Quantization Range Control for Analog-in-Memory Neural Networks Acceleration.

Nathan Laubeuf, Jonas Doevenspeck, Ioannis A. Papistas, Michele Caselli, Stefan Cosemans, Peter Vrancx, Debjyoti Bhattacharjee, Arindam Mallik, Peter Debacker, Diederik Verkest, Francky Catthoor, Rudy Lauwereins

ACM Trans. Design Autom. Electr. Syst., 2022

DIANA: An End-to-End Energy-Efficient Digital and ANAlog Hybrid Neural Network SoC.

Kodai Ueyoshi, Ioannis A. Papistas, Pouya Houshmand, Giuseppe Maria Sarda, Vikram Jain, Man Shi, Qilin Zheng, Juan Sebastian Piedrahita Giraldo, Peter Vrancx, Jonas Doevenspeck, Debjyoti Bhattacharjee, Stefan Cosemans, Arindam Mallik, Peter Debacker, Diederik Verkest, Marian Verhelst

Proceedings of the IEEE International Solid-State Circuits Conference, 2022

2021

Noise tolerant ternary weight deep neural networks for analog in-memory inference.

Jonas Doevenspeck, Peter Vrancx, Nathan Laubeuf, Arindam Mallik, Peter Debacker, Diederik Verkest, Rudy Lauwereins, Wim Dehaene

Proceedings of the International Joint Conference on Neural Networks, 2021

A 22 nm, 1540 TOP/s/W, 12.1 TOP/s/mm² in-Memory Analog Matrix-Vector-Multiplier for DNN Acceleration.

Ioannis A. Papistas, Stefan Cosemans, Bram Rooseleer, Jonas Doevenspeck, Myung Hee Na, Arindam Mallik, Peter Debacker, Diederik Verkest

Proceedings of the IEEE Custom Integrated Circuits Conference, 2021

2019

Low Voltage Transient RESET Kinetic Modeling of OxRRAM for Neuromorphic Applications.

Jonas Doevenspeck, Robin Degraeve, Andrea Fantini, Peter Debacker, Diederik Verkest, Rudy Lauwereins, Wim Dehaene

Proceedings of the IEEE International Reliability Physics Symposium, 2019

2018

Analytic variability study of inference accuracy in RRAM arrays with a binary tree winner-take-all circuit for neuromorphic applications.

Jonas Doevenspeck, Robin Degraeve, Stefan Cosemans, Philippe Roussel, Bram-Ernst Verhoef, Rudy Lauwereins, Wim Dehaene

Proceedings of the 48th European Solid-State Device Research Conference, 2018