YearTitle/AuthorDocument Type
2017TensorQuant. A simulation toolbox for deep neural network quantization
Loroch, Dominik; Pfreundt, Franz-Josef; Wehn, Norbert; Keuper, Janis
Conference Paper
2017Using GPI-2 for distributed memory paralleliziation of the caffe toolbox to speed up deep neural network training
Kühn, Martin; Keuper, Janis; Pfreundt, Franz-Josef
Conference Paper
full text
2016Distributed training of deep neural networks: Theoretical and practical limits of parallel scalability
Keuper, J.; Preundt, F.-J.
Conference Paper
2015Asynchronous parallel stochastic gradient descent: A numeric core for scalable distributed machine learning algorithms
Keuper, Janis; Pfreundt, Franz-Josef
Report
full text
2015Asynchronous parallel stochastic gradient descent: A numeric core for scalable distributed machine learning algorithms
Keuper, Janis; Pfreundt, Franz-Josef
Conference Paper
2015Balancing the communication load of asynchronously parallelized machine learning algorithms
Keuper, Janis; Pfreundt, Franz-Josef
Report
full text
This publication list has been generated from the publication database Fraunhofer-Publica.