3 citations · 3 across the 2 of their papers we have counts for
2 papers
cs.AR2022★ 3 cited
BrainTTA: A 35 fJ/op Compiler Programmable Mixed-Precision Transport-Triggered NN SoC
Maarten Molendijk, Floran de Putter, Manil Gomony +2
Recently, accelerators for extremely quantized deep neural network (DNN) inference with operand widths as low as 1-bit have gained popularity due to their ability to largely cut do…
cs.AR2022
Low- and Mixed-Precision Inference Accelerators
Maarten Molendijk, Floran de Putter, Henk Corporaal
With the surging popularity of edge computing, the need to efficiently perform neural network inference on battery-constrained IoT devices has greatly increased. While algorithmic…