Training course "Vectorisation and portable programming using OpenCL"
(Course no. 95/2017 in the training programme of Forschungszentrum Jülich)
Target audience: | Scientists who want to use GPU systems or many-core CPUs with OpenCL |
Contents: | |
Prerequisites: | Some knowledge about Linux, e.g. make, command line editor, Linux shell, experience in C |
Language: | This course is given in English. |
Duration: | 2 days |
Date: | 21-22 November 2017, 9:00-16:30 |
Venue: | Jülich Supercomputing Centre, Ausbildungsraum 1, building 16.3, room 213a |
Number of participants: | minimum 5, maximum 24 |
Instructors: | Andreas Beckmann, Willi Homberg, Ilya Zhukov, JSC; Prof. Dr. Wolfram Schenck, FH Bielefeld |
Contact: | Willi Homberg |
Registration: | 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 |
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