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null gpu-openAcc_2016
GPU Programming with OpenACC
Date: 08.12.2016 9:00 - 10.12.2016 16:00
Location details: The event is organised at the CSC Training Facilities located in the premises of CSC at Keilaranta 14, Espoo, Finland. The best way to reach us is by public transportation; more detailed travel tips are available.
Language: english-language
lecturers: Sebastian von Alfthan (CSC)
Sami Ilvonen (CSC)
Price:
  • free-price-finnish-academics.
  • free-price-others.
The course materials, lunches as well as morning and afternoon coffees are free of charge.
registration-closed
The seats are filled in the registration order. You may cancel your attendance in 5 business days prior the course.
Additional Information
This course is part of the PRACE Advanced Training Centre activity, please visit the PRACE Training portal for further information about the course.

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.

Program

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