IT Events Calendar
- Feb 20, 2018 Torgersen Hall 1100 Intro to ARC Systems This class will provide an overview of high-performance computing from a beginner's perspective. It will cover the following topics: 1) What is supercomputing? 2) Why is supercomputing or parallel computing important 3) Key terminology and concepts in parallel and supercomputing 4) What do modern supercomputers look like? 5) Theoretical background for parallel computing Any or all interested parties are welcome. Participants are not expected to have any background or familiarity with supercomputing or even programming to attend this session. This session provides an overview of the high-performance computing (HPC) resources managed by Advanced Research Computing(ARC) followed by a hands-on introduction to the user environment. This session also provides an excellent opportunity for less experienced HPC users to acquaint themselves with the systems available at Virginia Tech and become more comfortable with their use.
- Feb 23, 2018 Torgersen Hall 1100 Hands on GPU-R Building off Parallel R class
- Mar 01, 2018 Torgersen Hall 1100 Web 3D Publishing This session will survey the methods and technologies for publishing interactive 3D worlds to the World Wide Web. Using real examples, this session will introduce attendees to the file formats to web services delivering the power of 3D graphics and online applications.
- Mar 13, 2018 Torgersen Hall 1100 Visualization Zoo Visualization is a core competency in the knowledge economy. This session will provide an interactive survey of Information Visualization techniques and tools with special focus on a critical review of approaches and tradeoffs.
- Mar 15, 2018 Torgersen Hall 1100 Deep Learning Workshop This workshop will provide an introduction to deep learning using various software packages available on the Huckleberry cluster (2 hours), followed by a hands-on data lab (2 hours). Users are encouraged to bring own data so that they can attempt to connect the methods of deep learning to their own research. The workshop will cover the following topics: - Basic use of the Slurm scheduler. - Running Jupyter notebooks on Huckleberry. - Linear Regression using Tensorflow. - MNIST digits recognition using Keras. - Introduction to Distributed Deep Learning - Exercise with PowerAI-DDL