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.

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

Teacher

Dr. Oliver Mangold from HLRS.

Registration

via online registration form

Deadline

for registration is June 17, 2012 (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 not part of the PATC curriculum and is not sponsored by the PATC program.

Links

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

Local Organizer

Rolf Rabenseifner
phone 0711 685 65530
rabenseifner@hlrs.de