Integrating Neural Network Parallel Training using Tensorflow with SLURM
One of the most powerful characteristics of Google API for Machine Learning TensorFlow is its capability for distributed computation that allow users to automatically distribute the training process in different computing machines. Despite the fact that the implementation of these characteristics is relatively straightforward, their deployment in a typical High Performance Infrastructure based on queue [...]