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 has the same content as the course in spring.)

General Information

Agenda

Monday: 12:30-13:00 local registration, 13:00 - 17:45 course
Tuesday: 9:00 - 17:45 course
Wednesday: 9:00 - 13:00 course
(timetable latest changed on Feb. 07, 2011)

Language

German

Teachers

Dr. Oliver Mangold from HLRS

Registration

Registration is closed (because the course is full).

Deadline

for registration is June 5, 2011 (extended deadline)

Fee

Members of German universities and public research institutes: none,
others: 300 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)

CONTACT

Rolf Rabenseifner
phone 0711 685 65530
rabenseifner@hlrs.de