GPU Programming using CUDA

Enterprises & SME Research & Science
GPU Programming using CUDA

Abstract

The course provides an introduction to the programming language CUDA which is used to write fast numeric algorithms for NVIDIA graphics processors (GPUs). Focus is on the basic usage of the language, the exploitation of the most important features of the device (massive parallel computation, shared memory, texture memory) and efficient usage of the hardware to maximize performance. An overview of the available development tools and the advanced features of the language is given. This course provides scientific training in Computational Science, and in addition, the scientific exchange of the participants among themselves.

General Information

Agenda

1st day: 12:30-13:00 local registration, 13:00 - 18:00 course
2nd day: 9:00 - 18:00 course
3rd day: 9:00 - 16:00 course

Language

English

Teachers

Amer Wafai and Thomas Baumann from HLRS

Registration

Registration is closed (because the course is full).
The next available course is CUDA course, Nov. 6-8, 2013.

Deadline

for registration is April 7, 2013 (extended deadline)

Fee

Students without Diploma/Master: 30 EUR
Students with Diploma/Master (PhD students) at German universities: 60 EUR
Members of German universities and public research institutes: 60 EUR
Members of universities and public research institutes within Europe or PRACE: 60 EUR
Members of other universities and public research institutes: 120 EUR
Others: 400 EUR
(includes food and drink at coffee breaks, will be collected on the first day of the course, cash only)

Prerequisites

Programming experience in C, some knowledge about parallel programming

PRACE PATC

HLRS is part of the Gauss Centre for Supercomputing (GCS), which is one of the six PRACE Advanced Training Centres (PATCs) that started in Feb. 2012. The mandate for the PATCs is as follows:
"The PRACE Advanced Training Centres will serve as European hubs of advanced, world-class training for researchers working in the computational sciences." (see D3.2.3)
This course is a PATC course, see also the PRACE Training Portal and Events. For participants from public research institutions in PRACE countries, the course fee is sponsored through the PRACE PATC program.

Links

Additional information can be found, e.g., at
CUDA (wiki)

Cancelation policy

If you cannot come to the course, please send an email to the organizer as soon as possible. This would allow us to accept additional participants from the waiting-list. There is no cancelation fee.
NO-SHOW: Registered persons that do not cancel and do not show up without any reasons are blocked for the next year on any of our workshops (because it is to expensive to produce unused copies of the slides for them).

Limit

maximum of 40 participants in Stuttgart (according to the seats in the rooms).

Handouts

Each participant will get a paper copy of all slides.

CONTACT

Gabi Kallenberger
Phone 0711 685 65828
kallenberger@hlrs.de

Rolf Rabenseifner
phone 0711 685 65530
rabenseifner@hlrs.de