View source for GPU Tutorial/Julia

[[Category:Tutorials|GPU Computing (Julia)]]<nowiki />
{{DISPLAYTITLE:GPU Computing (Julia)}}<nowiki />
{{Syllabus Introduction to GPU Computing}}<nowiki />
__TOC__

This video discusses the SAXPY via Julia and CUDA.jl.
The CUDA.jl package is the main programming interface for working with NVIDIA CUDA GPUs using Julia. It features a user-friendly array abstraction, a compiler for writing CUDA kernels in Julia, and wrappers for various CUDA libraries.

=== Video === <!--T:5-->

([[Media:GPU_tutorial_saxpy_julia.pdf |Slides as pdf]])

=== Quiz === <!--T:5-->
{{hidden begin 
|title = 1. How do you transfer an array called x_cpu to the GPU memory?}}
<quiz display=simple>
{
|type="()"}
- x_gpu = CudaMalloc(x_cpu)
|| That's CUDA C!
+ x_gpu = CuArray(x_cpu)
|| Correct
- Julia just does that for you.
|| Sadly, no.
</quiz>
{{hidden end}}