Not able to get RTK speedups on GPU

Engineering
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1

Hi.

I am using RTK to do iterative reconstruction. Everything seems to be working, except when trying to run things on the GPU. Everything compiles fine and it runs. However, when the GPU-compiled programs run, they are slow, slower than the CPU versions. nvtop shows that the process is present on the GPU, but that it is using 0% of GPU processing while it is hammering the CPU. This is true of RTK code that I wrote as well as the RTK-ready applications such as rtkfdk, admmtv, conjugategradient, etc. I have compiled (clean) ITK with the flags ITK_USE_GPU and RTK_USE_CUDA. Below is a list of system stuff (for reference) and the display from nvtop. Any pointers/advice is appreciated.

Ross

OS: Ubuntu 22.04
Graphics card: NVIDIA RTX 500
Driver Version: 535.183.01
CUDA Version: 12.2

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2

@simon.rit might answer.

3

Thx

4

Could you please provide a concrete example of what you’re trying to do? For rtkfdk, you need to use the option --hardware cuda. For iterative reconstruction, you need to use forward and backprojectors, e.g. --fp CudaRayCast --bp CudaVoxelBased.

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5

Aha. I see these now in the command-line options for these executables. Let me try these options and see how it goes.

6

This seems to work. Thanks, so much, for your help!

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