Browsing Articles by imec author "36dd69790f5d17bea2c8644eed4c577a23e30f88"
Now showing items 1-6 of 6
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AERO: Design Space Exploration Framework for Resource-Constrained CNN Mapping on Tile-Based Accelerators
Yang, Simei; Bhattacharjee, Debjyoti; Baapanapalli Yadaiah, Vinay Kumar; Chatterjee, Saikat; De, Sayandip; Debacker, Peter; Verkest, Diederik; Mallik, Arindam; Catthoor, Francky (2022-06-13) -
AIMC Modeling and Parameter Tuning for Layer-Wise Optimal Operating Point in DNN Inference
Dadras, Iman; Sarda, Giuseppe; Laubeuf, Nathan; Bhattacharjee, Debjyoti; Mallik, Arindam (2023) -
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) -
FQ-Conv: Fully quantized convolution for efficient and accurate inference
Verhoef, Bram; Laubeuf, Nathan; Cosemans, Stefan; Debacker, Peter; Papistas, Ioannis; Mallik, Arindam; 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) -
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)