Description

This course gives an introduction to programming GPUs using the directive based OpenACC paradigm. The course consists of lectures and hands-on exercises. The course covers the basic usage of OpenACC, as well as some more advanced topics related to profiling, performance, interoperability with CUDA and multi-GPU programming.

During the last day there is also an opportunity to discuss your own code with the lecturers, and to investigate possibilities for porting your own code to OpenACC.

Learning outcome

After the course the participants should have the basic skills needed for utilizing OpenACC in new, or existing programs.

Prerequisites

The participants are assumed to have working knowledge of Fortran and/or C programming languages. In addition, fluent operation in a Linux/Unix environment will be assumed.

Agenda

Day 1, Wednesday 7.12

09.00 – 12.00  SESSION 1 & Coffee break

Introduction to accelerators
Introduction to OpenACC
Exercises
12.00 – 13.00   Lunch

13.00 – 16.00  SESSION 2 & Coffee break

   Data movement
   Exercises
Day 2, Thursday 8.12

09.00 – 12.00  SESSION 3 & Coffee break

Profiling
Performance considerations
Exercises
12.00 – 13.00   Lunch

13.00 – 16.00  SESSION 4 & Coffee break

Asynchronous operations and pipelining
Interoperability with CUDA and GPU-Accelerated libraries
Exercises
Day 3, Friday 9.12

09.00 – 12.00  SESSION 5 & Coffee break

Multi-GPU programming
Exercises
12.00 – 13.00   Lunch

13.00 – 16.00  SESSION 6 & Coffee break

  Bring-your-own-code
Lecturers: 

Sebastian von Alfthan (CSC), Sami Ilvonen (CSC)

Language:  EnglishPrice:          Free of charge

https://events.prace-ri.eu/event/562/