Introduction to Parallel Programming with OpenMP

Event Type

Conference/Workshop

Sponsor

NCSA, Research IT

Virtual

Date

Feb 9, 2022   10:00 am - 12:00 pm  

Speaker

Bruno Abreu, NCSA

Registration

Register by completing this form

Contact

Sandie Kappes

E-Mail

kappes@illinois.edu

Views

93

Originating Calendar

NCSA Research Consulting Training Events

This workshop is a 2-hour session where participants will work on exercises to parallelize model scientific applications using OpenMP, a shared-memory application programming interface. It will build on the previous Introduction to Parallel Computing on High-Performance Systems workshop that explored concepts and tools such as parallel loop scheduling, explicit data declarations, reduction clauses, and OpenMP library functions. It will be entirely hands-on, with granted access to a supercomputing cluster via a supporting XSEDE allocation.

You will learn how to:

• Balance workloads to threads in parallel loops using different schedules (static, dynamic, guided) and tune your loop parallelization for optimal performance
• Explicitly declare data contexts (private, shared) to avoid race conditions and improve the quality of your code, facilitating collaborations
• Use reduction clauses (additions, maximum and minimum values) to calculate properties without thread concurrency
• Use OpenMP library functions to span teams of threads, mix data and task parallelism, insert barriers, and much more

Pre-requisites:

• Basic C/C++ or Fortran programming skills
• Basic parallel programming knowledge
• Basic Linux skills (e.g. compiling code, navigating the file system)
• Familiarity with a remote Linux server text editor: vi, nano, or emacs

 Registration is required. Go to this form to register by February 6.