most citedFused Depthwise Tiling for Memory Optimization in TinyML Deep Neural Network Inference

1 citations · 1 across the 1 of their papers we have counts for

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2 papers

cs.LG2023

MLonMCU: TinyML Benchmarking with Fast Retargeting

Philipp van Kempen, Rafael Stahl, Daniel Mueller-Gritschneder +1

While there exist many ways to deploy machine learning models on microcontrollers, it is non-trivial to choose the optimal combination of frameworks and targets for a given applica…

cs.LG2023★ 1 cited

Fused Depthwise Tiling for Memory Optimization in TinyML Deep Neural Network Inference

Rafael Stahl, Daniel Mueller-Gritschneder, Ulf Schlichtmann

Memory optimization for deep neural network (DNN) inference gains high relevance with the emergence of TinyML, which refers to the deployment of DNN inference tasks on tiny, low-po…