Poll on Workshop Topics for Fall2017-Spring2018

Please suggest additional topics and/or select which of the following topics will be of use for yourself or your students.

Cluster Usage: How to access Pitt HPC resources, transfer data, submit compute jobs, and request help
Linux for High Performance Computing: practical Linux commands all users of HPC resources should know
R Programming (https://www.r-project.org/about.html)
Python Programming (https://www.python.org/about/)
Introduction to C Programming
Hybrid OpenMP/MPI Programming: learn how to parallelize a serial code using the OpenMP and MPI libraries
CUDA for GPU Programming (https://developer.nvidia.com/cuda-zone)
Compiling and Building Software Packages: practical steps for compiling your code or external applications from source
Matlab Programming (https://www.mathworks.com/)
Profiling and Debugging: How to profile your code for performance bottlenecks and how to debug your code when it crashes