Hi Albert,
In SART, many operations are performed on CPU even if the forward and
back projections are the CUDA ones. The diagram in the
SARTConeBeamReconstructionFilter documentation
(http://www.openrtk.org/Doxygen/classrtk_1_1SARTConeBeamReconstructionFilter.html)
shows all the sub-filters SART uses. Among these, some can be replaced
by CUDA filters (all the sources, and the displaced detector), and some
currently cannot (Extract, Subtract, Multiply, DivideOrZeroOut, Add, and
RayBoxIntersection) because we have not implemented these operations on
GPU yet.
If you are interested in helping do this, let me know, and I'll guide
you through the code to get you started. Otherwise, you may want to try
rtkconjugategradient, which is fully implemented in CUDA, instead of
rtksart. It will require more iterations (try 20 at first) but is more
stable, and may end up taking the same time.
Best,
Cyril
On 22/05/2018 13:36, Albert M wrote:
Hi,
I'm using GPU (NVIDIA TITAN Xp) to reconstruct tomosynthesis images by
SART method, i've no error and apparently results are fine.
In addition GPU reconstruction it's 2x faster than SART CPU (normal)
reconstruction (200sec vs 400sec)
But GPU usage is like 2~3%. Why is so low? How I can increase this?
PD: I'm using cuda at SART setting SetBackProjectionFilter and
SetForwardProjectionFilter at 2.
Can someone help me?
Thank you!
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