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cs.LG2021
ANNETTE: Accurate Neural Network Execution Time Estimation with Stacked Models
Matthias Wess, Matvey Ivanov, Anvesh Nookala +3
With new accelerator hardware for DNN, the computing power for AI applications has increased rapidly. However, as DNN algorithms become more complex and optimized for specific appl…
cs.LG2021★ 10 cited
Learning on Hardware: A Tutorial on Neural Network Accelerators and Co-Processors
Lukas Baischer, Matthias Wess, Nima TaheriNejad
Deep neural networks (DNNs) have the advantage that they can take into account a large number of parameters, which enables them to solve complex tasks. In computer vision and speec…