Research Computing Boot Camp -- Introduction to Parallel Computing
Purpose
This is a workshop on High Performance Computing (HPC) and High Throughput Computing (HTC) for scientists and engineers. The goal is to introduce the concepts of parallel computing to anyone whose research might benefit from parallel computation.
Many researchers have simple computational problems that require vast computational resources. This workshop is designed to jump-start these researchers, and also provide a parallel computing cornerstone for those with more complex programming needs.
Prerequisites
Basic knowledge of computer programming or use of a computational tool used in your field. Students will learn how to run very simple programs in parallel on a grid or cluster. Students with more complex programming needs can, and are encouraged to pursue higher level computer programming courses after completing this introduction.
Course Content
- Introduction to Unix
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- Unix standards and portability
- Unix user interfaces
- Common Unix commands
- Unix shell scripts
- Overview of High Throughput Computing (HTC) and High Performance Computing (HPC)
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- High Throughput Computing and Grids
- High Performance Computing and Clusters
- Job Scheduling with Torque (PBS) and Condor
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- Serial, Array, and Multicore jobs
- Basics of job scheduling scripts
Course Materials
The Peregrine User's Guide (PDF)
Where and When
Saturdays, February 2nd and 9th, 9:00am to 4:00pm
University of Wisconsin -- Milwaukee
Engineering and Math Sciences Building
3200 N. Cramer St.
Room E256
PC workstations are provided, wireless access is available to UWM students and employees.
Registration
Note: The registration page you are about to go to may give you the impression that this event is only open to UWM students and employees, but it is in fact open to the public. If you are not affiliated with UWM, proceed to the registration link and choose the manual registration form.
Register via the UWM Professional Development Office.
Cost: Free
Additional Information
Please direct any questions to cluster-support@uwm.edu.