GPU Programming using CUDA (2)
Big seminar room, HLRS (Höchstleistungsrechenzentrum Stuttgart), Universität Stuttgart, Allmandring 30, D-70569 Stuttgart
2014, Thursday Oct. 22, 12:30 - Friday Oct. 24, 16:00
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.) This course provides scientific training in Computational Science, and in addition, the scientific exchange of the participants among themselves.
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
Online form not yet available
for registration is Sep. 21, 2014.
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)
Programming experience in C, some knowledge about parallel programming
PRACE PATC and bwHPC-C5
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.
HLRS is also member of the Baden-Württemberg initiative bwHPC-C5.
This course is provided within the framework of the bwHPC-C5 user Support. This course is not part of the PATC curriculum and is not sponsored by the PATC program.
Additional information can be found, e.g., at CUDA (wiki)
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 and additional hotel list. 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.
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 too expensive to produce unused copies of the slides for them).
Each participant will get a paper copy of all slides.