Example / Image for EC2 GPU with Julia?

[philip]

I’m wondering if anyone with experience with GPU programming has examples of spinning up Amazon EC2 instances with GPUs and successfully running Julia on them. I take it the package installation process for getting Julia to “talk” to a GPU can be a bit of a bear. I’m hoping to do something like a Value Function Iteration akin to that demonstrated in this JuliaCon talk:

GPU - Accelerated Value Function Iteration in Julia | Giovanni Ballarin

I see excellent example code here that looks as though it assumes an already configured machine, but I’m wondering if there is any accumulated knowledge from which I could benefit around the stage of configuring the machine. In the past I’ve found getting EC2 nodes working to be a grueling process.

GitHub - giob1994/GPU-OpenCL-VFI-in-Julia: GPU + OpenCL Value Function...

[xiaodai]

CuArrays are easier. It’s based on CUDA not CLArrays

[Tomas_Pevny]

I do not have an experience, but I have just used Amazons ami for GPU and deep learning, install Flux, CuArrays and everything worked out of the box without any hassle.

[philip]

Cool; thanks. I’ll give it a shot.

[pkofod]

@Tomas_Pevny

I do not have an experience, but I have just used Amazons ami for GPU and deep learning, install Flux, CuArrays and everything worked out of the box without any hassle.

What version of Julia? 1.1? I was under the impression that CuArrays did not work on v1.1