Events

National Center for Supercomputing Applications master calendar

Back to Listing

NCSA staff who would like to submit an item for the calendar can email newsdesk@ncsa.illinois.edu.

Introduction to Parallel Programming with OpenMP

Event Type
Conference/Workshop
Sponsor
NCSA, Research IT
Location
Zoom (coordinates will be sent to workshop registrants)
Virtual
wifi event
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
88
Originating Calendar
NCSA User Services 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.

link for robots only