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Training course "Vectorisation and portable programming using OpenCL"

(Course no. 95/2017 in the training programme of Forschungszentrum Jülich)

21 Nov 2017 09:00
22 Nov 2017 16:30
Jülich Supercomputing Centre, Ausbildungsraum 1, building 16.3, room 213a


Target audience:
Scientists who want to use GPU systems or many-core CPUs with OpenCL

OpenCL provides an open, portable C-based programming model for highly parallel processors. In contrast to NVIDIA's proprietary programming API CUDA, a primary goal of OpenCL is portability across a diverse set of computing devices including CPUs, GPUs, and other accelerators.

Topics covered will include:

  • Introduction to vectorisation
  • Programming model of OpenCL
  • Datatypes and OpenCL vectorisation features
  • Tuning for architectures like CPUs and accelerators (GPUs)
  • Heterogeneous multi-device programming

Some knowledge about Linux, e.g. make, command line editor, Linux shell, experience in C
This course is given in English.
2 days
21-22 November 2017, 9:00-16:30
Jülich Supercomputing Centre, Ausbildungsraum 1, building 16.3, room 213a
Number of participants:
minimum 5, maximum 24
Andreas Beckmann, Willi Homberg, Ilya Zhukov, JSC;
Prof. Dr. Wolfram Schenck, FH Bielefeld
Willi Homberg
Please register with Willi Homberg until 7 November 2017.
If you do not belong to the staff of Forschungszentrum Jülich, we need these data for registration:
Given name, name, birthday, nationality, complete home address
Course materials:
List of presentations









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