GPU Computing (CUDA C)

Tutorial
Title:	Introduction to GPU Computing
Provider:	HPC.NRW
Contact:	tutorials@hpc.nrw
Type:	Multi-part video
Topic Area:	GPU computing
License:	CC-BY-SA
Syllabus
1. Introduction
2. Several Ways to SAXPY: CUDA C/C++
3. Several Ways to SAXPY: OpenMP
4. Several Ways to SAXPY: Julia
5. Several Ways to SAXPY: NUMBA

This video discusses the SAXPY via NVIDIA CUDA C/C++.

1. For which kind of programm can we expect improvements with GPUs?

2. What does GPU stands for?

3. Why do we expect an onverhead in the GPU timings?

	The data must be copied to an extra device first and has to be transferred back later
	A GPU core is "weaker" than a CPU core
	For "small" problems like the SAXPY, the whole power of a GPU is rarely used
	All of the above

Contents

	serial programs
	parallel programs

	graphics processing unit
	grand powerful unit