Introduction to OpenMP Offload Part 1: Basics of Offload
Introduction to OpenMP Offload Part 1 : Basics of Offload
August 11, 2022
1:00 – 3:30 PM (EDT)
Virtual via Zoom
Contact: Suzanne Parete-Koon (email@example.com).
This session, offered by OLCF and NERSC, is part of the OLCF’s Preparing for Frontier training series. Please click this link to visit the main page to see other sessions in the 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. In its inception it was targeted for shared memory parallelism, however current versions of OpenMP also enable data and program execution to offload from the host CPU to target GPUS and their associated memory on the same node.
This is part 1 of a two-part OpenMP Offload training that will enable application teams and developers to accelerate their code with the use of GPUs, as well as exploiting the latest OpenMP functionality to program multi-core platforms like Summit, and Perlmutter.
Both Part 1 and Part 2 of this training will have focused discussion about what you need to prepare for using OpenMP on Frontier.
For part 1 we will give a general overview of the OpenMP programming model and cover the basics of using OpenMP directives to offload work to GPUs. The hands-on sessions will be performed on OLCF Summit and NERSC Perlmutter. Participants without existing accounts will be provided training accounts on Perlmutter.
Part 2 will focus on optimization strategies and data movement and will be on September 1. See : https://www.olcf.ornl.gov/calendar/introduction-to-openmp-offload-part-2/ for details.
The target audience for this event are NERSC Perlmutter users and current OLCF users who do not yet have access to OLCF’s pre-Frontier (HPE+AMD) systems, but would like to start learning how to program GPUs with OpenMP. The hands-on sessions will be performed on OLCF Summit and NERSC Perlmutter. Participants without existing accounts will be provided training accounts on Perlmutter.
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