[Rtk-users] GPUs testing

[Elena Padovani]

Hi RTK-users,

I compiled RTK with CUDA and tried to setup a benchmark to analyze the
performances trend of the GPUs when using the CUDA-FDK reconstruction
filter. Precisely, when reconstructing the same volume from the same
data-set on NVS510 GTX860M and GTX970M i got results consistent with the
number of GPUs cuda cores. Indeed, when setting up this benchmark i was
expecting a reduction in the reconstruction time with the increase of cuda
cores(at least until the dimension of the reconstructed volume was not the
actual bottleneck). However, when testing it on a Tesla P100 i got
performances comparable to the GTX860M. Would you expect such a result?

Unfortunately i am new to CUDA and i was wondering if any of you could help
me figuring this out.
How does rtk with CUDA manage the number of blocks/grid dimension ?
Is the number of blocks/grid dimension depedent on the GPU cuda cores?
Is there a way to use multiple GPUs?

The test was carried with the following data:
- 360 projections
- reconstructed volume 600x700x800 px

Thank you in advance
Kind regards

Elena
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