Parallel Programming for Data Science

Objectives

  • Users will understand the basics of parallel programming on a supercomputer.
  • Users will be able to write programs in python, R, and Matlab that leverage multiple nodes on a supercomputer to speed time to solution.

Prerequisites

You may use the workstation in the classroom or you may bring your own laptop.


The Supercomputing for Everyone Series (S4ES) aims to bring more users into the realm of advanced computing, whether it be visualization, computation, analytics, storage, or any related discipline. Let Research Technologies staff take you to the next level of computing.

Supercomputing for Everyone Series workshops and seminars are led by personnel from Research Technologies, a division of University Information Technology Services and a center in the Pervasive Technology Institute at Indiana University.