Minnesota Supercomputing Institute
With regards to the safety measures put in place by the university to mitigate the risks of the COVID-19 virus, at this time all MSI systems will remain operational and can be accessed remotely as usual. The only planned outages concern our in-person Helpdesk and tutorials. More information, as well as alternative remote support options, can be found at MSI COVID-19 Continuity Plan
1.3_gpu, 1.3_gpu_python3, 1.4_gpu, 1.4_gpu_python3
Friday, March 30, 2018
1.3_gpu, 1.3_gpu_python3, 1.4_gpu, 1.4_gpu_python3, 1.3_gpu, 1.3_gpu_python3, 1.4_gpu, 1.4_gpu_python3
Monday, June 25, 2018
From the Tensorflow website:
TensorFlow is an open source software library for numerical computation using data flow graphs. Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. TensorFlow was originally developed by researchers and engineers working on the Google Brain Team within Google's Machine Intelligence research organization for the purposes of conducting machine learning and deep neural networks research, but the system is general enough to be applicable in a wide variety of other domains as well.
Tensorflow is available for use on MSI's Mesabi k40 nodes. To load tensorflow into your environment, use the following command:
module load tensorflow
Tensorflow is frequently used via its python interface. To use tensorflow in this manner after loading in the module, use the following procedure:
>>> import tensorflow as tf
There are a variety of tutorials available for using tensorflow on the official website.