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Customizing Pareto Simulated Annealing for Multi-objective Optimization of Control Cabinet Layout
Therefore, we need to apply methods for intelligent exploration of cabinet configuration space that enable to find a near-optimal configuration without evaluation of all possible configurations.
Performance Modelling of Deep Learning on Intel Many Integrated Core Architectures
We evaluate the prediction accuracy of performance models in the context of training three different convolutional neural network architectures on the Intel Xeon Phi.
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