The Arctic Region Supercomputing Center will offer free training
for new and current users of high performance computing resources.
Users can learn the latest programming tools and techniques for
organizing, manipulating and displaying data.
The training is scheduled for June 9 - 12 and all classes will be
held in the ARSC classroom, room 009 of the West Ridge Research
Building (WRRB).
For more information, contact Tom Logan at or visit Training at ARSC.
Tuesday, June 9
9 - 10 a.m. Linux/Unix
Instructor: Don Bahls
Introduction to the basic commands necessary to navigate the Linux/Unix programming environment.
10 - 11 a.m. Building from Source
Instructor: Don Bahls
How to use Make to invoke the compilers on ARSC machines.
11 a.m. - 12 p.m. VI editor
Instructor: Tom Baring
Basic file editing using the vi editor.
2 - 5 p.m. Fortran Programming
Instructors: Tom Logan and Lee Higbie
Overview for programmers who need to read Fortran programs or begin to write them.
Wednesday, June 10
9 - 11 a.m. Python
Instructor: Anton Kulchitsky
Overview for programmers who need to read programs or begin to write them.
11 a.m. - 12 p.m. Subversion
Instructor: Anton Kulchitsky
Basics of using Subversion source code repositories.
1:30 - 2 p.m. Portable Batch System
Instructor: Tom Logan
How to launch and monitor batch jobs using the PBS workload management system.
2 - 5 p.m. C Programming
Instructor: Ed Kornkven
Overview of the C programming language for programmers who need to read C programs or begin to write them.
Thursday, June 11
9 - 10 a.m. Network Common Data Form
Instructor: Kate Hedstrom
Introduction to the netCDF file format and tools.
1:30 - 2 p.m. NCAR Command Language
Instructor: Don Morton
Using the National Center for Atmospheic Research Command Language for scientific data processing and visualization.
2 - 5 p.m. Weather Research and Forecasting Tutorial
Instructor: Don Morton
Orientation to the weather model WRF.
Friday, June 12
10 a.m. - 12 p.m. Paraview and Integrated Data Viewer
Instructor: Patrick Webb
Introduction to using Paraview and IDV for data visualization.