| Event Description: Elizabeth Byerly, Data Systems Architect, Summit Consulting Parallel and Cluster Computing with R Parallel programming is an essential tool for computationally intensive statistical methods. This webinar focuses on the basics of parallel programming in R and includes first principles of cluster computing. We will define parallelizable problems with examples, introduce base R functions for parallel programming, and walk through configuring multiple systems to communicate and share parallel operations (cluster computing). Attendees should expect to leave knowing how to adapt functions to run in parallel, including how to distribute data and retrieve outputs, and the requirements to build a cluster computing system. The webinar's content will require no advance preparation and is appropriate for analysts who are intermediate R programmers.
This Web-Based Lecture sponsored by ASA’s Section for Statistical Programmers and Analysts (SSPA) |
| Location Information: Main Campus - Engineering Classroom Wing (View Map) 1111 Engineering DR Boulder, CO Room: 257: Newton Lab |
| Contact Information: Name: Ian Cunningham Phone: 303-492-4668 Email: amassist@colorado.edu |