ACCESS HPC Workshop: GPU Programming Using OpenACC

November 7, 2022

The Pittsburgh Supercomputing Center is pleased to present an OpenACC GPU programming workshop, sponsored by ACCESS.

OpenACC is the accepted standard using compiler directives to allow quick development of GPU capable codes using standard languages and compilers. It has been used with great success to accelerate real applications within very short development periods. This workshop assumes knowledge of either C or Fortran programming. It will have a hands-on component using the Bridges-2 computing platform at the Pittsburgh Supercomputing Center.

This will be an IN PERSON event hosted by various satellite sites, there WILL NOT be a direct to desktop option for this event.  The satellite site list(subject to change) is as follows:

  • Carnegie Mellon University
  • Georgia Institute of Technology
  • Institute for Cyber Enabled Research(ICER) at Michigan State University
  • National Center for Supercomputing Applications
  • New York University
  • Purdue University
  • Stanford University
  • Tufts University
  • University of Cincinnati
  • University of Delaware
  • University of Houston – Clear Lake
  • University of California, Los Angeles
  • University of South Carolina Research Computing
  • University of Utah
  • West Virginia State University
  • Yale Center for Research Computing


Interested applicants must first have an ACCESS ID.  If you do not have an ACCESS ID, please visit this page to create one:


Once you have an ACCESS ID, please complete the following registration page by Friday, November 4 at Noon Eastern time:

Eventbrite Reservation

Classroom location and further details will be provided once your registration has been processed.  Thank you for your patience.


Please address any questions to Tom Maiden at

Tentative Agenda

The tentative agenda, subject to change, is below. It is designed  to be time-zone friendly.

Monday, November 7 

All times given are Eastern time

11:00 Welcome
11:15 Computing Environment
11:45 Parallel Computing and Accelerators
12:15 Introduction to OpenACC
1:00 Lunch break
2:00 Introduction to OpenACC, con’t, and exercises
4:00 Using OpenACC with CUDA Libraries
4:15 Advanced OpenACC
4:45 OpenMP and GPUs
5:00 Final Notes and Adjourn