The registration to this course will open in Jaunary.
All PATC Courses at BSC do not charge fees.
PLEASE BRING YOUR OWN LAPTOP.
Local Web Page:
This course will provide very good introduction to the PUMPS Summer School run jointly with NVIDIA -also at Campus Nord, Barcelona. For further information visit the school website as this school has attendee selection process.
You may also be interested in our Introduction to OpenACC course.
Convener:
Antonio Pena, BSC
Acting Director,
NVIDIA GPU Center of Excellence
Objectives:
The aim of this course is to provide students with knowledge and hands-on experience in developing applications software for processors with massively parallel computing resources. In general, we refer to a processor as massively parallel if it has the ability to complete more than 64 arithmetic operations per clock cycle. Many commercial offerings from NVIDIA, AMD, and Intel already offer such levels of concurrency. Effectively programming these processors will require in-depth knowledge about parallel programming principles, as well as the parallelism models, communication models, and resource limitations of these processors.
Agenda to be announced shortly.
The target audiences of the course are students who want to develop exciting applications for these processors, as well as those who want to develop programming tools and future implementations for these processors.
Level: (All courses are designed for specialists with at least 1st cycle degree or similar background experience)
BEGINNERS: for trainees from different background or very little knowledge.
Agenda:
DAY 1 16/4
L1 9:00-10:45 The GPU hardware: Many-core Nvidia developments
18/4 10:45-11:15 Coffee break
L2 11:15-13:00 CUDA Programming: Threads, blocks, kernels, grids
18/4 13:00-14:00 Lunch break
L3 14:00-15:45 CUDA Tools: Compiling, debugging, profiling, occupancy calculator
15:45-16:15 Coffee break
L4 16:15-18:00 CUDA Examples(1): VectorAdd, Stencil, ReverseArray
DAY 2 17/4
L5 9:00-10:45 CUDA Examples(2): Matrices Multiply. Assorted optimizations
10:45-11:15 Coffee break
L6 11:15-13:00 CUDA Examples(3): Dynamic parallelism, Hyper-Q, unified memory
19/4 13:00-14:00 Lunch break
H1 14:00-15:45 Hands-on Lab 1
15:45-16:15 Coffee break
H2 16:15-18:00 Hands-on Lab 2
DAY 3 18/4
L7 9:00-10:45 Inside Pascal: Multiprocessors, stacked memory, NV-link
10:45-11:15 Coffee break
L8 11:15-13:00 OpenACC and other approaches to GPU computing
13:00-14:00 Lunch break
H3 14:00-15:45 Hands-on Lab 3
15:45-16:15 Coffee break
H4 16:15-18:00 Hands-on Lab 4
DAY 4 19/4
H5 9:00-10:45 Hands-on Lab 5
10:45-11:15 Coffee break
H6 11:15-13:00 Hands-on Lab 6
13:00-14:00 Lunch break
H7 14:00-15:45 Hands-on Lab 7
15:45-16:15 Coffee break
H8 16:15-18:00 Free Hands-on Lab
End of Course