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.
Monday: 9:30-10:00 local registration, 10:00 - 17:30 course
Tuesday: 9:00 - 15:30 course
Dr. Oliver Mangold from HLRS
Registration is closed (because the course is full).
To get early informations about future courses, you may register to our e-mail list also via the online registration formhttp://java.hlrs.de/ParProgWS_Registration/
for registration is June 13, 2010
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)
Programming experience in C, some knowledge about parallel programming
Additional information can be found, e.g., at
See HLRS address and travel-info. The next public transport stations are: "Universität, Stuttgart" (S-Bahn station, 15 min on foot) and "Lauchhau, Stuttgart" (Bus station, 4 min on foot to HLRS, bus lines 84, 92, 746, 747, 748, but not 82! from S-Bahn station "Universität, Stuttgart" and bus line 81 from S-Bahn station "Stuttgart-Vaihingen").
Accomodation: see HLRS accomodation-info. Private Bed&Breakfast is also available (might be cheaper than the hotels), e.g., www.nd-bed-breakfast.de. A DJH youth hostel is also available.
Further links: Online-Stadtplan des Stadtmessungsamtes Stuttgart or www.city-map.de.