GPU Programming using CUDA

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 has the same content as the course in spring.)

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

German

Teacher

Dr. Oliver Mangold from HLRS

Registration

via online registration form.

Deadline

for registration is Dec. 02, 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 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

Links

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

Local Organizer

Rolf Rabenseifner
phone 0711 685 65530
rabenseifner@hlrs.de