OpenACC Data Management

OpenACC Data Management
Thursday, May 28, 2020

NOTE: The format of this event has been changed to online only. NVIDIA will present remotely for the first ~1 hour and the remote connection will be left open for the hands-on session, where representatives from OLCF, NERSC, and NVIDIA will be available to support participants.
ORNL Remote Participation Only 1:00 PM – 3:00 PM (ET)
NERSC Remote Participation Only 10:00 AM – 12:00 PM (PT)

NVIDIA will present “OpenACC Data Management” on Thursday, May 28, 2020. This event is part 2 of a 3-part OpenACC Training Series that NVIDIA will deliver in 2020.

OpenACC is a user-driven directive-based performance-portable parallel programming model designed for scientists and engineers who are interested in porting their codes to a wide variety of heterogeneous HPC hardware platforms and architectures.

Since heterogeneous HPC systems utilize accelerators with their own onboard memory, we need to learn how to manage our data. OpenACC provides a number of directives for doing so. In this module, we will present these directives, apply them to our example code, and show the performance impact on Summit. After the presentation, there will be a hands-on session where participants can complete example exercises meant to reinforce the presented concepts.

Remote Participation
Remote participants can watch the presentations via web broadcast and will have access to the training exercises, but temporary access to the compute systems will be limited as follows:

  • Current NERSC users will have Cori-GPU access temporarily added to their accounts.
  • Temporary Summit access will not be available for remote participants.

NOTE: Registration is required for remote participation. To register, please submit the form below.

If you have any questions, please contact Tom Papatheodore (


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Remote Connection Details

Meeting number: 626 818 676
Password: M8kxiU5cM3z

Join by phone
1-650-479-3207 Call-in toll number (US/Canada)
1-855-244-8681 Call-in toll-free number (US/Canada)
Access code: 626 818 676

Shortly before the event, the example exercises for this module will be added to the labs/lab2 folder of the following GitHub repo:

OpenACC Data Management - Survey

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  • Rate from 1 to 5 (with 5 being highest). Select N/A if you did not work on the exercises.
  • Rate from 1 to 5 (with 5 being highest). Select N/A if you did not work on the exercises or if you completed the exercises on your own.


May 28 2020


Thomas Papatheodore
1 (865) 576-1244
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