Browsing by author "Doevenspeck, Jonas"
Now showing items 1-18 of 18
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A 22 nm, 1540 TOP/s/W, 12.1 TOP/s/mm2 in -Memory Analog Matrix -Vector-Multiplier for DNN Acceleration
Papistas, Ioannis; Cosemans, Stefan; Rooseleer, Bram; Doevenspeck, Jonas; Na, Myung Hee; Mallik, Arindam; Debacker, Peter; Verkest, Diederik (2021) -
Analytic variability study of inference accuracy in RRAM arrays with a binary tree winner-take-all circuit for neuromorphic applications
Doevenspeck, Jonas; Degraeve, Robin; Cosemans, Stefan; Roussel, Philippe; Verhoef, Bram; Lauwereins, Rudy; Dehaene, Wim (2018) -
Chain of magnetic tunnel junctions as a spintronic memristor
Raymenants, Eline; Vaysset, Adrien; Wan, Danny; Manfrini, Mauricio; Zografos, Odysseas; Bultynck, Olivier; Doevenspeck, Jonas; Heyns, Marc; Radu, Iuliana; Devolder, Thibaut (2018) -
Design and simulation of plasmonic interference-based majority gate
Doevenspeck, Jonas; Zografos, Odysseas; Gurunarayanan, Surya; Lauwereins, Rudy; Raghavan, Praveen; Soree, Bart (2017) -
Dynamic Quantization Range Control for Analog-in-Memory Neural Networks Acceleration
Laubeuf, Nathan; Doevenspeck, Jonas; Papistas, Ioannis; Caselli, Michele; Cosemans, Stefan; Vrancx, Peter; Bhattacharjee, Debjyoti; Mallik, Arindam; Debacker, Peter; Verkest, Diederik; Catthoor, Francky; Lauwereins, Rudy (2022-09) -
Gait identification using stochastic OXRRAM-based time sequence machine learning
Degraeve, Robin; Doevenspeck, Jonas; Fantini, Andrea; Debacker, Peter; Linten, Dimitri; Verkest, Diederik (2019) -
IGZO-based compute cell for analog in-memory computing - DTCO analysis to enable ultralow-power AI at edge
Saito, Daisuke; Doevenspeck, Jonas; Cosemans, Stefan; Oh, Hyungrock; Perumkunnil, Manu; Papistas, Ioannis; Belmonte, Attilio; Rassoul, Nouredine; Delhougne, Romain; Kar, Gouri Sankar; Debacker, Peter; Mallik, Arindam; Verkest, Diederik; Na, Myung Hee (2020) -
Low voltage transient RESET kinetic modeling of OxRRAM for neuromorphic applications
Doevenspeck, Jonas; Degraeve, Robin; Fantini, Andrea; Debacker, Peter; Verkest, Diederik; Lauwereins, Rudy; Dehaene, Wim (2019) -
Modeling and demonstration of oxygen vacancy-based RRAM as probabilistic device for sequence learning
Doevenspeck, Jonas; Degraeve, Robin; Fantini, Andrea; Debacker, Peter; Verkest, Diederik; Lauwereins, Rudy; Dehaene, Wim (2020) -
Multi-pillar SOT-MRAM for Accurate Analog in-Memory DNN Inference
Doevenspeck, Jonas; Garello, Kevin; Rao, Siddharth; Yasin, Farrukh; Couet, Sebastien; Jayakumar, Ganesh; Debacker, Peter; Verkest, Diederik; Dehaene, Wim; Lauwereins, Rudy; Cosemans, Stefan; Mallik, Arindam; Kar, Gouri Sankar (2021) -
Noise tolerant ternary weight deep neural networks for analog in-memory inference
Doevenspeck, Jonas; Vrancx, Peter; Laubeuf, Nathan; Mallik, Arindam; Debacker, Peter; Verkest, Diederik; Lauwereins, Rudy; Dehaene, Wim (2021) -
Novel memory devices tailored to analog in-memory computing for neural network inference
Cosemans, Stefan; Doevenspeck, Jonas; Verhoef, Bram; Papistas, Ioannis; Laubeuf, Nathan; Bhattacharjee, Debjyoti; Catthoor, Francky; Debacker, Peter; Verkest, Diederik; Rao, Siddharth; Subhechha, Subhali; Kar, Gouri Sankar; Furnemont, Arnaud (2020-09) -
Opportunities and challenges of resistive RAM for neuromorphic applications
Degraeve, Robin; Mallik, Arindam; Garbin, Daniele; Doevenspeck, Jonas; Fantini, Andrea; Rodopoulos, Dimitrios; Roussel, Philippe; Govoreanu, Bogdan; Hendrickx, Paul; Di Piazza, Luca; Stuijt, Jan; Schaafsma, Siebren; Debacker, Peter; Donadio, Gabriele Luca; Hody, Hubert; Goux, Ludovic; Kar, Gouri Sankar; Furnemont, Arnaud; Mocuta, Anda; Verkest, Diederik (2018) -
OxRRAM-Based Analog in-Memory Computing for Deep Neural Network Inference: A Conductance Variability Study
Doevenspeck, Jonas; Degraeve, Robin; Fantini, Andrea; Cosemans, Stefan; Mallik, Arindam; Debacker, Peter; Verkest, Diederik; Lauwereins, Rudy; Dehaene, Wim (2021) -
SOT-MRAM based Analog in-Memory Computing for DNN inference
Doevenspeck, Jonas; Garello, Kevin; Verhoef, Bram; Degraeve, Robin; Van Beek, Simon; Crotti, Davide; Yasin, Farrukh; Couet, Sebastien; Jayakumar, Ganesh; Papistas, Ioannis; Debacker, Peter; Lauwereins, Rudy; Dehaene, Wim; Kar, Gouri Sankar; Cosemans, Stefan; Mallik, Arindam; Verkest, Diederik (2020) -
Temporal sequence learning with a history-sensitive probabilistic learning rule intrinsic to oxygen vacancy-based RRAM
Doevenspeck, Jonas; Degraeve, Robin; Fantini, Andrea; Debacker, Peter; Verkest, Diederik; Lauwereins, Rudy; Dehaene, Wim (2018) -
Towards 10000TOPS/W DNN inference with analog in-memory computing – A circuit blueprint, device options and requirements
Cosemans, Stefan; Verhoef, Bram; Doevenspeck, Jonas; Papistas, Ioannis; Catthoor, Francky; Debacker, Peter; Mallik, Arindam; Verkest, Diederik (2019) -
Winner-take-all accuracy in RRAM arrays with a binary tree for neuromorphic applications
Doevenspeck, Jonas; Degraeve, Robin; Cosemans, Stefan; Roussel, Philippe; Rodopoulos, Dimitrios; Garbin, Daniele; Verhoef, Bram; Fantini, Andrea; Lauwereins, Rudy; Dehaene, Wim (2018)