Spring 2018 Workshops Offerings
Please visit RCCI's website for more information about our workshop offerings and how to sign up to attend.
Exploring: AWS for Researchers
Date: Tuesday, March 6
Time: 10:00 AM - Noon
Location: Toepfer Room, Adelbert Hall
This session will present features and capabilities of Amazon Web Services that might be of interest to researchers.
Working with the HPC - Linux Command Line
Date: Wednesday, March 21
Time: 2:00 PM - 4:00 PM
This event will present strategies and techniques to work more productively on the HPC cluster. The topics will include bash scripts, cron setup, batch permission change and others concerned with efficiency and automation of tasks.
Working with Caffe, Theano, and Torch - Applications of Deep Learning
Date: Tuesday, April 3
Time: 2:00 PM
This lab introduces the rapidly developing technology of deep learning accelerated by GPUs. The course is intended for anyone looking for a fundamental understanding of deep learning.
In this lab, you will learn:
- The concept of deep learning
- How the growth of deep learning has improved machine perception tasks including visual perception, speech recognition, and natural language
- How to choose which software framework best suits your needs
Working with Image Classification - NVIDIA DIGITS
Date: Tuesday, April 3
Time: 3:00 PM
This lab shows you how to leverage deep neural networks (DNN) - specifically convolutional neural networks (CNN) - within the deep learning workflow to solve a real-world image classification problem using NVIDIA DIGITS on top of the Caffe framework and the MNIST handwritten digits dataset.
In this lab, you will learn how to:
- Architect a Deep Neural Network to run on a GPU
- Manage the process of data preparation, model definition, model training and troubleshooting
- Use validation data to test and try different strategies for improving model performance
Exploring Non-Traditional Uses of HPC
Dates: Bi-weekly starting Wednesday, March 7 (4 sessions)
Regardless of your field of study or the nature of your data, computational approaches to analysis can radically change your perspective of your data by providing access to and analysis of a far larger dataset than would be possible without computer assistance.
These sessions will be tech-free introductions to 'Big Data' topics in fields that may not traditionally have used computational methodologies. There will be four lunchtime meetings during the Spring semester.
Cyberinfrastructure Day 2018
Date: Friday, April 13
Location: Wolstein Research Building
National Science Foundation Cyber Carpentry Workshop
Dates: Monday, July 16 - Friday, July 27, 2018
Data Lifecycle Training is a two-week summer workshop aimed at helping graduate students understand the many aspects of the data-intensive computing environment. Even more important, the workshop will focus on bridging the gap between domain scientists and computer and information scientists so that data-intensive research is quicker, less complicated and more productive.
The workshop will take place July 16 - 27, 2018 at RENCI, a University of North Carolina research institute. The workshop is open to doctoral students and postdocs in basic sciences and computational sciences. Applications must be submitted by 5:00 p.m. Pacific Time on March 15 to receive full consideration.
For more information and to apply, please see the UNC Cyber Carpentry Training website.