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Found 4 papers, 0 papers with code
Optimization of Heterogeneous Systems with AI Planning Heuristics and Machine Learning: A Performance and Energy Aware Approach
In this paper, we present a performance and energy aware approach that combines AI planning heuristics for parameter space exploration with a machine learning model for performance and energy evaluation to determine a near-optimal system configuration.
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.
CHAOS: A Parallelization Scheme for Training Convolutional Neural Networks on Intel Xeon Phi
In this paper, we present our parallelization scheme for training convolutional neural networks (CNN) named Controlled Hogwild with Arbitrary Order of Synchronization (CHAOS).
