PATC: Introduction to CUDA Programming
Date: 16/Apr/2018 Time: 09:00 - 20/Apr/2018 Time: 18:00
The course will take place in the UPC Campus Nord premises.
C6 Building. Room E106
Target group: 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.
Primary tabs
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)