TY - CHAP U1 - Konferenzveröffentlichung A1 - Malysiak, Darius A1 - Grimm, Matthias A1 - Handmann, Uwe T1 - On the challenge of training small scale neural networks on large scale computing systems T2 - 16th IEEE International Symposium on Computational Intelligence and Informatics (CINTI) N2 - We present a novel approach of distributing small-to mid-scale neural networks onto modern parallel architectures. In this context we discuss the induced challenges and possible solutions. We provide a detailed theoretical analysis with respect to space and time complexities and reinforce our computation model with evaluations which show a performance gain over state of the art approaches. Y1 - 2015 UR - https://ieeexplore.ieee.org/document/7382935 SN - 978-1-4673-8520-6 SB - 978-1-4673-8520-6 U6 - https://doi.org/10.1109/CINTI.2015.7382935 DO - https://doi.org/10.1109/CINTI.2015.7382935 SP - 273 EP - 284 S1 - 12 ER -