[LA-SiGMA] HPC Training: Parallel Computing with R

[Feng Chen]

Dear All,

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

Our next HPC training will be held on Wednesday, November 1 at 9:00 AM in 307 Frey Computing Service Center and broadcast through WebEx for remote users.

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

Wednesday, November 1, 2017: Parallel Computing with R
R is a widely used language in data analysis with rich features. Its performance, however, is limited by the fact that it is single-threaded. On the other hand, to take advantage of the processing power of HPC clusters, computer programs need to be able to run in parallel. In this tutorial, we will focus on how to use the "parallel" package in R and a few related packages to parallelize and enhance the performance of R programs.
Prerequisites
Prerequisites: Basic understanding of R is assumed but not required.

Next HPC Training:

Wednesday, November 8, 2017: Introduction to Deep Learning
Deep neural networks have shown great success in various fields such as computer vision, natural language processing, and speech recognition as a powerful tool to learn robust and complex features directly from data without domain-specific knowledge. Existing deep learning framework tools such as Keras, Tensorflow 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 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
Manager of User Services
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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