Loop Optimizations with OpenACC

Loop Optimizations with OpenACC
Tuesday, June 23, 2020

NVIDIA will present “Loop Optimizations with OpenACC” on Tuesday, June 23, 2020. This event is part 3 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.

There are a number of ways we can optimize our code using OpenACC. This module introduces the ‘gang’, ‘worker’, and ‘vector’ constructs in OpenACC, as well as other OpenACC loop optimization clauses that can be used to communicate with the compiler with respect to how you would like your application to be parallelized. In this module, we experiment with multiple loop optimization strategies, and we show the performance impact of each using 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 (papatheodore@ornl.gov).