16-20 April 2018
Barcelona BSC Campus Nord
CET timezone

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 (April, 16)

09:00 – 10:45 The GPU hardware: Many-core Nvidia developments

10:45 – 11:15 Coffee break

11:15 – 13:00 CUDA Programming: Threads, blocks, kernels, grids

13:00 – 14:00 Lunch break

14:00 – 15:45 CUDA Tools: Compiling, debugging, profiling, occupancy calculator

15:45 – 16:15 Coffee break

16:15 - 18:00 CUDA Examples (1): VectorAdd, Stencil, ReverseArray

18:00 Adjourn

 

Day 2 (April, 17)

09:00 – 10:45 CUDA Examples (2): Matrices Multiply. Assorted optimizations

10:45 – 11:15 Coffee break

11:15 – 13:00 Inside Kepler and Maxwell: Dynamic parallelism, Hyper-Q, unified memory 

13:00 – 14:00 Lunch break

14:00 – 15:45 Hands-on Lab

15:45 – 16:15 Coffee break

16:15 – 18:00 Hands-on Lab

18:00 Adjourn

 

Day 3 (April, 18)

09:00 – 10:45 Inside Pascal and Volta: Stacked memory, NV-link, tensor cores

10:45 – 11:15 Coffee break

11:15 – 13:00 OpenACC and other approaches to GPU computing. Bibliography 

13:00 – 14:00 Lunch break

14:00 – 15:45 Hands-on Lab

15:45 – 16:15 Coffee break

16:15 – 18:00 Hands-on Lab

18:00 Adjourn

 

Day 4 (April, 19)

09:00 – 10:45 Atomics and Histogramming

10:45 – 11:15 Coffee break

11:15 – 13:00 Reduction operators

13:00 – 14:00 Lunch break

14:00 – 15:45 Hands-on Lab

15:45 – 16:15 Coffee break

16:15 – 18:00 Hands-on Lab

18:00 Adjourn

 

Day 5 (April, 20)

09:00 – 10:45  Hands-on Lab

10:45 – 11:15 Coffee break

11:15 – 13:00 Hands-on Lab

13:00 Adjourn

 

End of Course

 

MU: Manuel Ujaldón (Full Professor of Computer Architecture and former Nvidia CUDA Fellow)

 

 

 

Starts 16 Apr 2018 09:00
Ends 20 Apr 2018 13:00
CET
Barcelona BSC Campus Nord
C6 Building, Room E106

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