Dear NERSC users, OpenMP Offload is a highly recommended programming model supported by multiple compilers on Perlmutter GPUs. The OpenMP Offload training series, collaboratively offered by OLCF and NERSC, is also part of the Performance Portability training series <https://www.olcf.ornl.gov/performance-portability-training-series/>. The OpenMP API is a scalable model that gives parallel programmers a simple and flexible interface for developing portable parallel applications in C/C++ and Fortran. This multi-part OpenMP Offload training series will enable application teams and developers to accelerate their codes with the use of GPUs, as well as exploit the latest OpenMP functionality to program multi-core platforms like Perlmutter and Frontier. Part 1 <https://www.nersc.gov/openmp-offload-2023-training-part1-basics-of-offload/> on September 29 will cover a general overview of the OpenMP programming model and cover the basics of using OpenMP directives to offload work to GPUs. Details of using various compilers for OpenMP Offload on Perlmutter and Frontier will be presented. The hands-on sessions will be performed on OLCF Frontier and NERSC Perlmutter. Part 2 <https://www.nersc.gov/openmp-offload-training-part2-optimization-data-movement-oct2023/> on October 6 will cover optimization strategies and show how efficient data movement and a better understanding of the hierarchy of parallelism available can lead to improved performance. We will also cover best practices for OpenMP Offload. The hands-on sessions will be performed on OLCF Frontier and NERSC Perlmutter. For more information and to register for each part, please refer to the event web pages linked above. Best Regards, Helen He NERSC Training _______________________________________________ Users mailing list Users@nersc.gov