Introduction to CUDA Programming @ BSC
Date: 16 - 20 April 2018
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)
Event types:
- Workshops and courses
Activity log
