Apr 18 – 21, 2017
Barcelona BSC Campus Nord
CET timezone

The registration to this course will open in Jaunary.

All PATC Courses at BSC do not charge fees.


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.

Antonio Pena, BSC
Acting Director,
NVIDIA GPU Center of Excellence


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.


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


Barcelona BSC Campus Nord

For further details and practical info such as local transport and venue please visit the local course pages for PATC@BSC: http://www.bsc.es/patc