[LA-SiGMA] HPC Training: Intermediate Python Programming

[Feng Chen]

Dear All,

The schedule for the Spring 2017 HPC Training is available at http://www.hpc.lsu.edu/training/tutorials.php.

Our next HPC training will be held on Wednesday, March 29 at 9:00 AM in 307 Frey Computing Service Center and broadcast through WebEx for remote users.

Note that all HPC training will start at 9:00 AM.

Wednesday, March 29, 2017: Intermediate Python Programming
Python is a great general-purpose, powerful programming language and has also become a powerful environment for scientific and engineering computations. This tutorial will focus on popular Python modules numpy, matplotlib and scipy to get users familiar with building quick Python real world computing solutions. This section can also serve as a quick crash training on Python for the upcoming tutorial on Machine Learning.
Prerequisites: No prior Python programming knowledge is assumed but some experience in a programming language will be useful.

Next HPC training:

Wednesday, April 5, 2017: Machine Learning in HPC Environments
Machine learning, which learns from and generates predictions on data, has become one of the most important technology impacting every application domain including e-commerce, medical informatics, science and engineering. As data get massive and more complex, a deep learning framework emerges as a powerful tool to learn robust and complex features directly from data without domain-specific knowledge.
Deep neural networks have shown great success in various fields such as computer vision, natural language processing, and speech recognition. Existing tools such as Keras, Tensorflow and Theanos are being developed to build and evaluate deep learning models. In this tutorial we will demonstrate how to develop a deep learning model to achieve near state of the art performance on the MNIST handwritten digit recognition task with Keras on LONI QB2 cluster. Fundamental machine learning concepts will also be covered during the training.
Prerequisites: Some experience of python is assumed but not required.

Please visit http://www.hpc.lsu.edu/training/tutorials.php for more details and register using the link provided.
Users who plan on joining remotely will be provided with a WebEx Link in their registration confirmation email. Please see the system requirements at https://grok.lsu.edu/Categories.aspx?parentCategoryId=3381.

Please distribute to faculty, staff and students that might be interested.

Thanks,

Feng Chen, PhD
IT Consultant
High Performance Computing
Louisiana State University
329 Frey Computing Services Center, Baton Rouge, LA  70803
office 225-578-2924
fchen14 at lsu.edu<mailto:fchen14 at lsu.edu>




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