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ORCID1st MLHPC@SC 2015: Austin, Texas, USA
- Proceedings of the Workshop on Machine Learning in High-Performance Computing Environments, MLHPC 2015, Austin, Texas, USA, November 15, 2015. ACM 2015, ISBN 978-1-4503-4006-9
- Janis Keuper, Franz-Josef Pfreundt:
Asynchronous parallel stochastic gradient descent: a numeric core for scalable distributed machine learning algorithms. 1:1-1:11 - Markus Götz, Christian Bodenstein, Morris Riedel
:
HPDBSCAN: highly parallel DBSCAN. 2:1-2:10 - Catherine D. Schuman, Adam Disney, John Reynolds:
Dynamic adaptive neural network arrays: a neuromorphic architecture. 3:1-3:4 - Steven R. Young, Derek C. Rose, Thomas P. Karnowski, Seung-Hwan Lim, Robert M. Patton:
Optimizing deep learning hyper-parameters through an evolutionary algorithm. 4:1-4:5 - Brian Van Essen, Hyojin Kim, Roger A. Pearce, Kofi Boakye, Barry Chen:
LBANN: livermore big artificial neural network HPC toolkit. 5:1-5:6
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